EME 580:
INTEGRATIVE DESIGN OF ENERGY & MINERAL ENGINEERING SYSTEMS
Objective: To “collaboratively integrate … knowledge and
experiences in addressing common problems”.
Topics: “[P]roduction, processing and
utilization of fossil and renewable energy and the associated environmental,
health and safety, and business management issues”.
Methodology: “[U]tilize … engineering
and business principles to optimally recover, process and utilize conventional
and unconventional energy in an environmentally friendly, safe and economical
manner… A quantitative approach, including mechanistic, thermodynamic, fluid
flow, and kinetic analysis of proposed options must be considered, together
with a preliminary economic analysis”.
Spring 2018
syllabus (Note this update!)
Exercise #1. Analysis of a ‘classic’ (or at
least highly cited) paper:
(a) Osborn et al., “Methane
contamination of drinking water accompanying gas-well drilling and hydraulic
fracturing”, PNAS, 108 (20), 8172-6 (2011).
-Is “microbial methanogenesis” vs.
‘thermogenic’ methane the key
argument (Figure 4)?
-Agree that Ref. 14 is (among)
the most important one(s)? And what about Ref. 15?
-Have plots similar to Figure
4A (and/or Figure 4B) been published before and after the paper by Osborn et al. (2011)? Is there agreement in the
literature about the ‘boundaries’ between biogenic and thermogenic methane?
-Does the presence of biogenic
methane (and absence of thermogenic methane) ‘automatically’ mean that its
source is not hydraulic fracturing? (Relationship between ‘shallow’ and
‘deep’ groundwater sources?)
-Here is an
example of an annotated (progressively ‘digested’) paper. (Can see
comments/annotations?)
-Which conclusions stem from
which graphs?
-Can verify the
accuracy/reliability of at least one quantitative aspect in a key figure?
-Example(s) of cited paper(s)
that support key statements/arguments?
-Example(s) of citing paper(s)
that endorses/questions some of the conclusions (especially those that are
contained in figures/tables, but may not be highlighted)?
[See here
a (convincing?) argument about integrity-related issues.]
Example(s) of
discussion of key figures/tables: First, what does the reader
see? And
only then, what do the authors say?
Quiz #1: Here is the
summary of results… and here is my
version of the solution.
(b) The true story of the Hubbert
curve: giving credit where credit is due!
-Does the Wikipedia summary agree with the record available in the Web of Knowledge?
…
Assignment #1 (due midnight January 28): deposit into your team’s Canvas drop box
(a) a Word file containing the (preliminary) title of your project, and (b)
copies of (i) a typical media report or a patent and
(ii) a typical technological paper, so that we can begin to analyze them in
class.
The ten
commandments (of a researcher): first approximation! Note that the methodology
of
writing a paper, or a thesis, or a report (as for this class) is ALWAYS
essentially the same.
___________________________
Team #1 (Mohammad, mba23; Abdulla,
asa5350; Livio, lzs249).
Title: “Artificial neural networks in reservoir
chemical EOR implementation”.
Discussion
of ‘technological’ paper:
“An artificial neural network model for predicting the recovery
performance of surfactant polymer floods”, M M Al-Dousari and A A
Garrouch, J Petr
Sci Eng (2013), 109, 51-62.
-What does “surfactant polymer flood” (in the title) really mean? (Is
the flooding carried out with a polymer surfactant? Or with both a polymer and
a surfactant? If the latter, why are both needed? And should then there be a
hyphen in the title, “…surfactant-polymer…”?)
-Is the input of “18
dimensionless groups” a reasonable one? Why 18? Do any (or most?) of these
groups have physical significance? For example, do the authors explain, or
provide a reference for, the “hidden layers”?
-What is the meaning of
breakthrough time? (What breaks through what?) And do the authors justify the
selection of their PVI values (0.75, 1.5 and 2.25)?
-The claim to fame of ANN is
“adaptive learning”… Right? Any example(s) included in
this paper? And is there any concrete evidence in this paper that such a
model is indeed “an adequate alternative [to] the time-consuming and expensive
reservoir simulators”? For example, do the authors offer any comments regarding
the (widely variable?) correlation coefficients in Figures 8-15? If not, what
criterion do they use to claim “reliable estimates of oil recovery for an SP
flood” (see Conclusions)?
Comments after presentation #1:
-Is the 1996 study by Hagan (and
coworkers?) the pioneering (or breakthrough) report in this field?
-In ANN models, as in all
modeling efforts, it is very important to distinguish carefully between
‘predicting’ and reproducing experimental data; do the studies you reviewed so
far make it easy to make this distinction?
-Is the number of “hidden
layers” one of the important adjustable parameters in ANN models? Does it have
a physical significance?
-Is the applicability of ANN
more ‘popular’ in ‘chemical’ EOR than in other EOR methods? And what exactly is
chemical in “chemical EOR”?
Discussion of
‘scientific’ paper:
“Surface
Chemistry of Oil Recovery from Fractured, Oil-Wet, Carbonate Formations”, G Hirasaki and D L Zhang, SPE
Journal, 151-162 (June 2004).
-Is
there an equation that describes the process of (spontaneous) imbibition (of
oil by water or vice versa)? If yes, and when applied to oil recovery, does it
contain any adjustable parameters?
-Is the zeta potential of
calcite shown in Figure 7 in agreement with (many?) other studies of this
ubiquitous compound? Do the authors cite the relevant (and representative?)
literature? And is their conclusion #2 then just a confirmation of a well known fact?
-Does the discussion of Figure
7 meet the ultimate challenge: ‘squeezing’
the maximum quantity of ‘juice’ without insulting the intelligence of the
(informed) reader, while at the same time not overestimating the knowledge of
the (general) reader!
-Any
relationship between the results in Figure 7 and those of adsorption
measurements (Figures 24 and 25)? Discussed/understood by the authors?
Understandable?
Comments
after presentation #2:
-Issues from
presentation #1 addressed/dismissed/resolved?
-Example(s) of key graphs and
their detailed pre- and post-interpretation?
-Is the assumption that silica
has a negative charge and clay has a positive charge a reasonable or often
distorting simplification? Who has discussed and/or proposed this and how
convincing is the evidence?
-How
exactly is polymer flooding related to CEOR? Which conformation type (i.e.,
viscoelastic behavior) favors a decrease in viscosity?
Discussion of ‘economic’ paper:
“Polymer-Flooding
Economics, From Pilot to Field Implementation”, M Sieberer
et al., SPE EconManag, July 2017, 51-60.
-Is there something obviously ‘lopsided’ in the list of
references?
-Do the authors make
meaningful economic comparisons with water flooding? And do they explain why,
for example, instead of using polymer flooding in the same field after
water flooding, it is not (economically) advantageous to use water
flooding in another, less depleted field? Do they compare the relevant
$/ton recovered oil? Does anyone else do that (e.g., in the cited or citing
papers)?
Comments after
final presentation:
-Which
methodology is more important or challenging, the ‘forward’ (using reservoir
properties) or the ‘reverse’ (using production rates)?
-Is there information/discussion in
the literature about the ASP selection or optimization process based on their
relative adsorption isotherms?
Team #2 (Jonathan, jun94; Kien, kht8; Zhicheng, zxw161).
Preliminary title: “Production Data Analysis of Natural Gas Reservoirs: Recent
Analytical Approaches”.
Discussion
of ‘technological’ paper:
“Rigorous and explicit determination of reserves and hyperbolic
exponents in gas-well decline analysis”, T N Stumpf and L F Ayala, SPE Journal, 1843-57 (October 2016).
-Does
the area under the curve in Figure 3 represent the ‘reserves’ mentioned in the
title? How is such a curve related to the Hubbert curve, if at all?
-And why “exponents” in
the title? Are there more than one? See Conclusion #5… What evidence do the
authors provide for “a reduced number of degrees of freedom”?
-Among the 49 equations in the
paper, which one(s) is (are) the most important? For example, which one(s)
define(s) the “strength of the coupling between [the] viscosity-compressibility
product and pressure depletion”?
-In case studies 1-6 the
authors show different relationships between the hyperbolic exponent and the
average value of alpha. Do they discuss them and therefore explain (or
justify?) their Conclusion #4?
Comments after
presentation #1:
-How does ‘modern’ fluid dynamics
denote/analyze/classify “Darcy’s law” and the “Klinkenberg
effect”?
-Why is a hyperbolic decline
curve most commonly observed? And can b take a value that is greater than 1.0?
If yes, does this have a physical meaning?
-Is the hyperbolic window a
significant fraction of the total decline curve?
-Is SG=0.55 a typical value?
(Over what range can it vary and why?) Is it simply 16/29? If yes, why is it
necessary to specify it as a parameter?
Discussion of
‘scientific’ paper:
“Density-Based
Decline Performance Analysis of Natural Gas Reservoirs Using a Universal Type
Curve”, L F Ayala H and P Ye, J Energy
Res Technol (December 2013), 135, 042701.
-Is
the order of authorship of this paper unusual? Does it have a simple
explanation (and justification)?
-What
is a “type curve”? And is it a concept borrowed from another field or unique to
PNGE? What makes it a ‘type’ curve (as opposed to, say, a typical curve)? And
on the basis of which argument can it become ‘universal’?
-Does Figure 1a make sense?
Can you verify it? (Is the information in Ref. 23 necessary?) Does it make
sense that ideal gas behavior is observed NOT at low pressures, but at pressures
that are intermediate between ‘moderate’ and ‘high’?
-Are type-curve matches in the
various case studies achieved using very different values for the reservoir and
fluid properties? Do the authors discuss these differences? And are these
differences reasonable (and understood)?
-Is it easy to identify at
least one (convincing?) example in support of the conclusion that the “proposed
single-line type curve…reliably estimate[s] fluids in place”?
Comments
after presentation #2:
-Issues from
presentation #1 addressed/dismissed/resolved?
-Example(s) of key graphs and
their detailed pre- and post-interpretation?
-Are there simulation examples
that show relatively poor OGIP estimation when the hyperbolic window is
relatively narrow?
-Is it easy to identify the
adjustable parameters in PDA vs. RTA, and which method has the advantage with
respect to this criterion of model usefulness?
-Is
the physical significance of “rate-normalized pseudo-pressure” and
“material-balance pseudo-time” reasonably clear (compare to, say, the Reynolds
number)? Do the authors who use them even make an attempt to provide an
explanation, or at least a justification for their introduction?
Discussion of ‘economic’ paper:
“An
Emerging Giant: Prospects and Economic Impacts of Developing the Marcellus
Shale Natural Gas Play”, Report by T Considine et al., PSU, 2009.
-Readily
available? Prepared for whom?
-What is the main argument against
passing the tax on to the consumers? Is it convincing? (Is there a table or a
graph that supports it?)
-How has ‘posterity’ treated
this report? Updates available? And citing papers? Tax exists? At what level?
Effect on drilling activity? (Anything close to 30% decrease?) And on
production?
-Any peer-reviewed cited
papers whose fate can be followed more easily?
Comments after
final presentation:
-Reserves
(in the USA?) really (only?) 332x10^12 cuft?
Including shale gas?
-Shouldn’t the literature (and
you?) be more critical about the model validation procedures? Apart from
‘predicting’ reserves, should not the discussion focus on the selection (and
adjustment?) of the key model parameters? Examples?
Here is Quiz #2.
(Responses: #1-95% True; #2-100% True; #3-100% True; #4-65% True.)
Here is Quiz #6.
(Responses: tbp.)
Here is Quiz
#9.
___________________________________________________________________
Team #3 (Daulet,
dus83; Ahmed, amn46; Brayam, bdv3).
Topic: “Coal-biomass co-firing in competitive
electricity generation markets: equilibrium framework approach”.
Discussion
of ‘technological’ paper:
“Biomass cofiring: the technology, the experience, the combustion
consequences”, D A Tillman, Biomass and
Bioenergy (2000), 19, 365-84.
-Is
this a review paper? (Note the number of citing papers…) If yes, is it
authoritative? Comprehensive? Critical?
-How many figures/tables are
‘originals’? Are those from previous studies ‘reproduced’ or ‘adapted’? And do
they include studies from other R&D groups?
-Is the list of conclusions
longer than that of “unresolved issues”?
-Is an explanation for NOx
emissions reduction provided? Is it convincing? Is it based, at least in part,
on arguments offered by others?
Comments after
presentation #1:
-In
projecting a reliable growth rate of, say, solar electricity (which presumably
competes with co-firing), it is important to consider the recent past; based on
this comparison, are the projections (typically used in co-firing models)
realistic? And has the “renewables portfolio” really been “steadily
increasing”?
-Is the (universally?) claimed
advantage of reduced NOx emissions due simply to a lower combustion temperature
or to some (well understood?) change in the combustion mechanism? If the
latter, does this agree with the apparent dominance of separate
biomass/coal ‘co-firing’?
-Is it surprising that only
5-10% of biomass use seems to be common in ‘co-firing’?
-What are the typical biomass
transportation costs (in $/ton/mile)? Are they very different from those of
coal transportation?
-Does co-firing make
(techno-economic) sense only if relatively cheap biomass (residue) is used? In
this sense, is the Midwest case (a)typical?
Discussion of ‘scientific’ paper:
“Use of
a Predictive Model for the Impact of Cofiring Coal/Biomass Blends on Slagging
and Fouling Propensity”, P Plaza et al.,
Energy Fuels (2009), 23, 3437-45.
-Is there a key cited
reference that is closely related to the main conclusion(s)?
-Is there an important citing
reference that supports or questions the main conclusion(s)?
Comments
after presentation #2:
-Issues from
presentation #1 addressed/dismissed/resolved?
-Example(s) of key graphs and
their detailed pre- and post-interpretation?
-Is the use of ‘big’ words
such as ‘endogenous’ and “equilibrium framework” really justified? What would
be an exogenous adoption and would it make sense? And is a kinetic framework
more or less suitable for this analysis?
-The methodology section
should describe how the information was collected and collated (see details
elsewhere on this web site); what you propose to include should be distributed
between the Intro and R&D sections.
-Is, say, “<5% cofiring” a
misleading number? Should you not convert this to a percentage of biomass
use/availability and make a point that 5% of a huge number (say, for generating
10 GW) is a reasonably large number as well?
-Are examples of use of sewage
sludge or sawdust misleading when discussing MISO? No examples available for
use of corn residue?
Discussion of
‘economic’ paper:
“Economics
of co-firing coal and biomass: An application to Western Canada”, Energy Economics (2015), 48, 7-17.
-Application
to Western Canada justified economically? And technologically? Selection of
Western Canada made/makes sense?
Comments after
final presentation:
-Is
it not a (severe?) limitation of this approach to consider the % co-firing to
be a constant (parameter)? Should it not be a variable that responds to
variations in the carbon tax (or feed-in tariff)?
-A presumably important
advantage of co-firing is a reduction in NOx emissions. Has this trend been
discussed (questioned or confirmed?) in the more recent literature?
_____________________________
Team #4 (Thomas, tjg5335; Nathan,
nfg5008; Bronson, bpf5082).
Preliminary topic: “How the mining industry
would respond to future energy outlooks”.
Discussion
of ‘technological’ paper:
“Considerations of resource availability in technology development
strategies: The case study of photovoltaics”, A Zuser
and H Rechberger,
Resources, Conservation and Recycling (2011), 56, 56-65.
-Only
one conclusion? (And ‘extends’??) Does it address what was ‘promised’ in the
title?
-Is the formula (in the
Appendix) novel? Is it explained/justified?
-Is the availability of silver
really more important than that of (many?) other resources? Any
figure(s)/table(s) addressing this (central?) issue?
-Sufficient information provided
about resources that might make a greater contribution to 1 TW-level
photovoltaics industry (e.g., gallium, tellurium, indium, perovskites)?
Comments after
presentation #1:
-In
assessing the reserves of the metals that might constrain the growth of photovoltaics,
is it not important to consider the (widely varying?) efficiencies of metal
recovery from their ores?
-How exactly are the
‘unsubsidized’ LCOE numbers obtained, especially for the fossil fuels? Are the
assumptions that go into such calculations explicitly stated, say, by Lazard
(2017)?
-In one of your slides that
lists the assumptions, you have “1000 W/m2”. Understood? Reasonable?
-When comparing energy
outlooks, you had GW on the slides, and yet you referred to them as GW/yr!? The distinction is VERY important. Which is correct
(and why)?
Discussion of
‘scientific’ paper:
“Thermodynamics
and kinetics study of tellurium removal with cuprous ion”, M Mokmeli et al., Hydrometallurgy (2014), 147-48, pp
20-29.
-Is
there a key cited reference that is closely related to the main conclusion(s)?
-Is there an important citing
reference that supports or questions the main conclusion(s)?
Comments
after presentation #2:
-Issues from
presentation #1 addressed/dismissed/resolved?
-Example(s) of key graphs and
their detailed pre- and post-interpretation?
-In summarizing the answers to
your main question, is it not more important to make comparisons based on $/m^2
or $/GW (rather than mt/m^2 or mt/GW), especially since refining operations
seem to be more important than the mining itself?
-Is it not important (also) to
keep track of (and analyze?) the parent minerals mined? Thus, for example, how
exactly is pyrite (FeS2?) relevant in this context?
-Is it common/typical that
these issues are discussed in seemingly ‘inappropriate’ journals (e.g., J
Vacuum Sci Technol or Environ Sci Technol)?
-Do you get the sense that
most authors typically (grossly?) overestimate the future contribution of solar
energy in order to make the mining issues more relevant (or even dramatic)?
Discussion of ‘economic’ paper:
“Implications
for CdTe and CIGS technologies production costs of
indium and tellurium scarcity”, Prog Photovolt Res Appl (2012), 20, 816-31.
-Do
the authors justify $0.75/Wp for solar electricity? (Does it make sense, in the
light of the actual
situation with electricity supply? See also here…) Do
they provide reliable cost evolution data? And does this matter for their main
argument?
Comments after
final presentation:
-Is
the (oversimplified?) conclusion from your research that the (realistic?)
replacement of silicon (not unlike that of coal in the energy arena?) will be
complicated by resource availability constraints in 2nd generation
PVs and this may (and is expected to?) provide a stimulus for speedier
commercialization of 3rd generation PVs?
Here is Quiz #3.
(Responses: #1-100% False; #2-90% True; #3-90% True; #4-100% False.)
Here is Quiz #7.
(Responses: tbp.)
Here is Quiz
#10.
___________________________________________________________________
Team #5 (Greg, gsk5081; Xuwei, xqz5129; Duo, duh281).
Preliminary title: “Oil recovery by low-salinity-water flooding of carbonate
reservoirs: Insights into chemical mechanisms”.
Discussion
of ‘technological’ paper:
“Low salinity
waterflooding in carbonates considering mineralogy”, C Qiao
et al., SPE-175018-MS (2015).
-Shouldn’t the title be
“Low-salinity-water flooding in …”?
-Is conventional brine
classified as high-salinity water? What is/are its most relevant salinity
quantifying parameter(s)?
-Where does “increased SO42-
adsorption” occur, and what is the evidence for it?
-What is the evidence for the
argument that “the decrease of Ca2+ concentration enhances anhydrite
dissolution and decreases the surface potential”? And for the statement that
“the surface concentration of adsorbed carboxylic group decreased”?
-Do the authors cite at least
one authoritative study of basic inorganic chemistry? (If not, is it easy to
identify such a study, perhaps cited in some of the key references?) For
example, is it easy to understand what -COOCa+
means and how it presumably represents (a coulombic?) interaction at the
oil-water interface? Are the associated equilibrium constants reliable values?
Comments after
presentation #1:
-You
mentioned a “large surface-to-volume ratio”? Of what, and in what context? Is
it really large? (Or just relatively large?)
-If a crude oil has an acid
number of 2.07, does this really mean that it contains 2 meq/g
of carboxyl groups? If yes, is this not an unusually high oxygen content?
-Would
the presence of Mg2+ in carbonate rock be more advantageous than
that of Ca2+? And how exactly
would this help to reduce the rock/oil interaction? Does zeta potential
characterization of rocks help to answer these questions?
-Which components of the
low-salinity water help the most to reduce the rock/oil interactions? Is there
consensus in the literature (which you have reviewed) on the relevant
mechanism?
-Is the postulated equilibrium
CaOH2+COO- = CaOH2+ +
COO- consistent with the basic principles (and facts) of inorganic chemistry?
Discussion of
‘scientific’ paper:
…
Comments
after presentation #2:
-Issues from
presentation #1 addressed/dismissed/resolved?
-Example(s) of key graphs and
their detailed pre- and post-interpretation?
-Your 2008 reference (Montaron?) classifies 60% of the oil reservoirs and 40% of
the gas reservoirs (in the world?) as being in carbonate rocks; is this still
true, after the fracking ‘revolution’?
-Does
35% recovery rate refer to primary recovery or includes also EOR?
-In
attempting to gain insight into the governing chemical mechanisms, do the
authors (of your cited papers) provide experimental or theoretical (and
speculative?) evidence (e.g., in postulating a ‘release’ of carboxyl groups by
calcite dissolution as the presumed cause of permeability/porosity
increase)?
Discussion of
‘economic’ paper:
“Improving
Chemical EOR Economics by Optimizing Water Quality”, SPE 144397 (2011).
-Do the authors provide
information/explanation regarding the (obvious?) absence of some options in
their Figure 9? Is the message of this figure affected by this?
-Are the absolute $ numbers in
Figure 9 (and elsewhere?) important (and meaningful)? Or only their relative
trends?
-Do the authors demonstrate
any economics expertise (or credibility) in this paper?
Comments after
final presentation:
-Are
the different behaviors of Mg2+ and Ca2+, especially as
they respond to a temperature increase, consistent with general (and basic)
interfacial chemistry arguments? And do cations or anions (e.g., sulfate) have
a greater influence on the oil vs. water wettability behavior?
-Has
the “blank experiment” always been carried out: the contribution of a pressure rise upon waterflooding on enhanced recovery?
-In your (very important!)
Conclusions slide, you mean ‘alteration’ (rather than ‘alternation’)… Right?
-In
some graphs you showed very modest contact angle changes (e.g., the study by
Yousef, 2011), while in others (e.g., Mahani, 2017)
these changes appear to be much larger… Do they correlate with recovery enhancements?
Should they?
_____________________________
Team #6 (Tianyuan,
tzw90; Boning, bxz52; Xuanqing, xxl234).
Preliminary title: “Analysis of shale gas adsorption”.
Discussion
of ‘technological’ paper:
“Evaluation of gas adsorption in Marcellus shale”, W Yu et al., SPE 170801-MS (2014).
-Do the authors show the
(informed!) reader that they are aware of the fact that the relevant issues are
(very?) similar to those encountered in extensively studied coalbed methane
recovery?
-Do the authors cite reliable
evidence for the statement that “[i]t is believed
that gas in shale reservoirs is … adsorbed gas in organic matter (kerogen)”?
And that “the monolayer Langmuir isotherm describes gas adsorption behavior in
shale gas reservoirs”?
-Do the authors mention any
reason why “gas adsorption in a shale gas reservoir” would not “[behave] like
multilayer adsorption”?
-In discussing Table 4 and
Table 5, do the authors explain the variability of the fraction of adsorbed gas
in the four samples? Is there a relationship between this amount of
(presumably) adsorbed gas and some measurable property of the shale?
-Do the authors cite at least one
authoritative study of basic adsorption phenomena (apart from the classic BET
and Langmuir papers)? (If not, is it easy to identify such a study, perhaps
cited in some of the key references?) For example, do they discuss monolayer
adsorption (and the onset of multilayer adsorption) in the context of the
available surface area of the different samples?
Comments after
presentation #1:
-If
TOC of shale reservoirs is so low (typically <10%?), does a comparison of
GIP with coalbed methane reservoirs make sense? Should there exist a
correlation between TOC and GIP?
-Is there convincing evidence
that the same kerogen type (III?) characterizes both coalbeds and shale rock?
-Based on basic adsorption
principles, should there exist a correlation between porosity (or specific
surface area?) and gas reserves (or GIP)?
-Does a type III isotherm
really represent multilayer adsorption? What is its main distinctive
feature when compared to type I and type II isotherms?
-Is there some convincing
justification for using four different isotherms in an attempt to
characterize shale gas adsorption? (Is such ‘Edisonian’
approach reasonable in the XXI century?)
Discussion of
‘scientific’ paper:
…
Comments
after presentation #2:
-Issues from
presentation #1 addressed/dismissed/resolved?
-Example(s) of key graphs and
their detailed pre- and post-interpretation?
-Is it reasonable to postulate
that maturity may (or should) correlate with the amount of gas adsorbed? Or
kerogen type? Has this been explored (and established?) in coalbed methane
recovery?
-Are
the measured adsorption heats (from T dependence of gas uptakes) reasonable?
-If
typical uptakes are 5-25 cc/g (at ca. 15 MPa?), does this correspond to less or
more than a monolayer? And is this more or less to methane amounts adsorbed in
coalbeds?
-Is it important to
distinguish between ‘excess’ and ‘conventional amounts adsorbed?
Discussion of ‘economic’ paper:
“The
long-run oil-natural gas price relationship and the shale gas revolution”, Caporin and Fontini, Energy Economics 64 (2017), 511-9.
-Is the most relevant graph available in this paper? Or
in a cited or a citing paper?
-Comments
on this graph?
Comments after
final presentation:
-Because
your final presentation did emphasize the comparison between CBM and shale gas,
should this be reflected somehow in the title of your report?
-Does the reviewed literature really
analyze rather superficially the applicability of the various adsorption
isotherms? Is it not more important (than reporting R2 values) to
explore whether these comparisons reveal something about the dominant factors
that govern gas adsorption in shale vs. coalbed reservoirs?
-If the relative permeability
and porosity values are as you reported them for (typical?) coalbed vs. shale
reservoirs, why is there free gas left in the latter? Not being adsorbed, what
kept it from escaping (or migrating)?
-Does the literature try to
explain why gas uptake at 65 oC is similar
to the uptake at 50 oC? Why is it not
lower to the same extent that the uptake at 50 oC
is lower than the uptake at 35 oC? Is this
not simply a manifestation of the well
known interplay between quasi-equilibrium (uptake decrease as T
increases, but equilibrated only in a fraction of accessible pore space) and
kinetics (uptake increase as T increases due to increasing accessibility of
pore space)?
Here is Quiz #4.
(Responses: #1-70% True; #2-80% False; #3-80% False; #4-100% False.)
Here is Quiz #11.
___________________________________________________________________
Team #7 (Junjun,
jxl1270; Ismail, iud30; Shams, svj5235).
Preliminary title: “Applications of fiber optic sensors in petroleum
engineering”.
Discussion
of ‘technological’ paper:
“Improved microseismic fracture mapping using
perforation timing measurements for velocity calibration”, N R Warpinski et al., doi:
10.2118/84488-PA.
-Is
fiber optics mentioned in this paper?
-Can the calibrated velocities
be related to reasonable ‘microseismic’ frequencies?
-Do the authors show how much
better their approach is than conventional fracture mapping?
Comments after
presentation #1:
-Have
fiber optics been successfully utilized in both gas and oil reservoirs? Are there
any significant differences in products/processes used?
-Are
all of its applications (e.g., pipeline surveillance, sensors) based on the photoelectr(on)ic effect?
-Being basically a modern
(albeit parasitic) ‘invasive’ technique, can it compete with (emerging?)
non-invasive methods? Example(s) of advantage (w/r to conventional methodology)
based on its unique properties?
Discussion of
‘scientific’ paper:
“Long-range
pipeline monitoring by distributed fiber optic sensing”, Inaudi
and Glisic, J
Press Vessel Technol (2010), 132, 011701.
-In what context is Raman
scattering highlighted in the Abstract? And is there such thing (phenomenon) as
“Brillouin scattering”? (Why is the name of Brillouin invoked?)
-Does any one of the cited
references provide appropriate support for the key scientific argument(s) in
this paper? And what exactly is (are) the key scientific argument(s) here?
Comments
after presentation #2:
-Issues from
presentation #1 addressed/dismissed/resolved?
-Example(s) of key graphs and
their detailed pre- and post-interpretation?
-Agree that the SCI record for
“Brillouin scattering” vs. “Raman scattering” vs. “Rayleigh scattering” is (in
title) 4055 vs. 21861 vs. 3353? Possible explanations? And relevance to your
study?
-Do the most important PNGE
papers, in this eminently interdisciplinary field, typically cite the most
authoritative (fundamental or applied?) fiber optics studies? Examples?
Discussion of ‘economic’ paper:
“Costs and
Benefits for Pipeline Acoustic Fiber Optic Monitoring”, ND Faber, Pipelines
2017 (ASCE), pp12-22.
-Does
the author quantify the “payback period” mentioned in the Conclusion? And is
this really (clearly?) shown in Figure 4?
-How are the results in Figure
4 related to the information provided in Table 2?
Comments after
final presentation:
-Is
there an important applicability difference between acoustic and seismic waves?
Team #8 (Rui, rxl356; Chengcheng, cwl5499; Zhenke,
zxx36).
Preliminary title: “Shale gas production decline prediction”.
Discussion
of ‘technological’ paper:
“Analysis of decline curves”, J J Arps, SPE-945228-G (1945).
-Is
it better to have a hyperbolic or a harmonic decline curve in shale gas
production?
-Do
the results presented by Arps allow the reader to reconstruct (easily) some of
the critical experimental data such that the hyperbolic or harmonic nature of
the decline curves can be verified?
-Does the author show how the
integration of a decline curve results in a reasonable estimate of reserves?
Are there any contradictory examples in the recent citing literature?
Comments after
presentation #1:
-Is
it really the case that shale gas production requires reservoir stimulation
(and must therefore be classified as EGR, by analogy with EOR)?
-Is horizontal drilling
necessary or desirable?
-What exactly is ‘kriging’?
Origin of the term? (Person?) Original reference(s)?
-Examples and physical
significance of b>1?
-Is
data ‘wrangling’ really different from data smoothing? Are the procedures used
substantially different?
Discussion of ‘scientific’ paper:
“Analysis
of production history for unconventional gas reservoirs with statistical
methods”, Bhattacharya and Nikolaou, SPE
Journal (October 2013), 878-96.
-Are
the key PCA equations in the body of the paper or the appendix?
-Do the authors explain the
difference, or the complementarity, between PCA and PCR? And do they clearly
identify the “principal components” (independent variables?) that govern the
production history of unconventional gas reservoirs?
-Have the same (or similar)
statistical methods been applied in the past to conventional gas and/or oil
reservoirs?
Comments
after presentation #2:
-Issues from
presentation #1 addressed/dismissed/resolved?
-Example(s) of key graphs and
their detailed pre- and post-interpretation?
-How much, and in what way,
has the (co)-Kriging method evolved from the originally proposed method
(presumably by someone by the name of Krig?)?
-Good initial guesses are
often necessary for convergence… has the available literature discussed the
sensitivity of the final result to the variability in the initial guess for,
say, the parameter b? Or q? Or D? (For example, does
b=0.5, instead of b=1.0, converge to essentially the same final result?)
Discussion of ‘economic’ paper:
“U.S. shale
oil production and WTI prices behaviour”, Monge et al., Energy (2017), 141, 12-19.
-Do the authors point out and
explain any discrepancies from the trends observed in Figure 2?
-Is the “wavelet coherency”
analysis justified? Is it not sufficiently obvious that, at least in this
instance, the “law” of supply and demand simply worked?
Comments after final presentation:
-If
the modeling parameters vary from reservoir to reservoir, is it appropriate (or
misleading?) for the (majority of?) researchers to claim ‘prediction’
capabilities of shale gas production (decline curves)?
Here is Quiz #5.
(Responses: #1-100% True; #2-82% True; #3-91% False;
#4-100% True.)
Here is Quiz
#8.
(Responses: tbp.)
Here is Quiz
#12.
___________________________________________________________________
Sources of information:
(a) Media reports (e.g., NYT,
WSJ, Economist, NatGeog,
SciAmer, ProQuest,
etc.)
(b) Web of
Knowledge: Here is an example of a “citation report”. Are SPE papers included in the citation analysis?
(c) Patents
(d) Dissertations
How
does one design or analyze a product,
a process, or a ‘system’?
-Equation(s)?
-‘adjustable’
parameters vs. ‘fundamental’
constants?
-One’s own experience? (Excessive trust? The more one looks, the less one
sees?)
-Experience of others? (Trust but verify… How?)
-Why did Darwin not read p52
of Mendel’s 1865 paper on pea hybrids, but did (apparently) read p50, p51 and
p53 (according to S Mukherjee, “The Gene”, 2016)? Unlikely that he missed its
importance (for his emerging theory of evolution and heredity)? Darwin was not
the only one, though: Mendel’s paper was cited only FOUR times over the next
three decades!? (Mendel himself also did not fully appreciate the importance of
his own findings…) And then?
-Giving credit where credit is really due?
See a (very dramatic and) very important example (DNA structure determination):
(i) Why three back-to-back papers in the 4/25/1953
issue of Nature? (ii) Read carefully
the Acknowledgment sections! (iii) Who won, and who deserved, the Nobel Prize?
(Similar ‘story’ with the discovery of fullerene, “the most beautiful
molecule”? And of calculus? Others?)
-Speculation by (true) experts!?
-impact of Schrödinger’s “What
is Life?”
-…
Structure
of the report (overview): What goes where? Deadline: April 29.
-Executive Summary (Abstract): What did you do, how did you
do it and what did you find (or discover)?
-Introduction: What is the (general) problem/issue, how had it been addressed
in the past, and which (specific) aspect have you addressed in the report?
-Need for subsections 1.1,
1.2, etc.?
-Methodology: How exactly did you do what you did?
2.1 Web of Knowledge
2.2 …
2.3 …
-Results and Discussion: What did you find, what do these findings mean in the
context of what was already known, and how novel are your findings?
3.1 …
3.2 …
3.3 …
-These subsections should be
arranged carefully such that they (i) faithfully
reflect the contents ‘promised’ in the title and (ii) proceed from the general
issue(s) to the more specific ones.
-(Summary and) Conclusions: What are the “bottom-line” (take-home) messages?
Required format/submission:
-font 12, at least
1.5-spacing.
-figures and tables on
separate pages, either immediately after being mentioned in the text or
collected at the end of the report.
-electronic version uploaded
Sunday night in Canvas dropbox; printed version
delivered to my office on Monday.
The ‘secret’ to good writing is “good reading”… Use the ‘template’ approach?
(Find a good paper (in a prestigious journal?) and use it as your ‘model…)
-Exercise
ability to identify important papers?
-Exercise ability to identify
good papers?
-Exercise ‘efficiency’ of
reading (ability to understand the main message(s) quickly)?
-Read
good novels… for sentence construction and correct punctuation!
(Seen/read “Eats[,] shoots and leaves” by Lynne
Truss?)
-“The
Old Man and the Sea” as an example: What fraction of Hemingway’s
sentences does NOT have a comma? And when sentences do have commas, are these
not in ‘easy’ locations? Take-home message?
Bottom line of research
“ethics and integrity” (to be discussed, hopefully based on
concrete examples, in class of March 26 and beyond)…
Challenges and opportunities in reading/citing
patents:
-Is it true that there are
more patents citing papers than papers citing patents?
-Do you agree that it is
important, and useful, to cite patents (because they contain valuable
information on the intellectual property of products and processes), especially
in a paper that emphasizes technology (over science)?
-Is it more difficult to cite
patents in any specific context because the relationship between text and
figures/tables in a patent is not as explicit as it typically is in a paper? Or
also because lawyers contribute to a greater degree of ‘vagueness’ than is
typical in a sci/tech paper?
-Is it common that patents
contain an Introduction (“Description of the Prior Art”) without specific
references (a situation that would be unacceptable in a paper), and does that
justify the relative absence of patents among the cited references in a
sci/tech paper?
Suggestions for class presentation
(15-20 min + 5-10 min discussion):
-#1
(overview of project):
-general overview of the
topic, including the emerging Table of Contents (5 min);
-several examples of initial
analysis of specific issues (10-15 min).
-#2
(progress report):
-general overview of the
topic, including the (close-to-definitive) Table of Contents and a brief
commentary on at least one important previous review of this topic (10 min);
-representative examples of
analysis of important issues based on published literature reports as well as
your own analysis of selected tables/figures (5-10 min).
-#3
(final
presentation):
-Introduction and Methodology:
brief overview of the topic, an example of a key issue, and a presentation of
the main objective(s) of your study (<5 min);
-Results and Discussion:
representative examples of analysis of important issues based on published
literature reports as well as your own analysis of selected tables/figures
(10-15 min);
-Summary and/or Conclusions
(<5 min).
Peer
evaluations:
Please send me an e-mail, through Canvas and by midnight April 29 in which you evaluate the contribution of the other
members of your team as “above average”
or “average” or “below average”.
lrr3@psu.edu (updated
04/29/2018, 23:05)