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Record W2215027422 · doi:10.2118/167686-pa

A Physics-Based Method To Forecast Production From Tight and Shale Petroleum Reservoirs by Use of Succession of Pseudosteady States

2015· article· en· W2215027422 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSPE Reservoir Evaluation & Engineering · 2015
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFlow (mathematics)Oil shaleMechanicsTransient (computer programming)Boundary (topology)Petroleum engineeringTransient flowCapacitanceBoundary value problemGeologyGeotechnical engineeringEngineeringApplied mathematicsComputer scienceMathematicsPhysicsMathematical analysisGeomorphology

Abstract

fetched live from OpenAlex

Summary Analysis of production data from tight and shale reservoirs requires the use of complex models for which the inputs are rarely known. The same objectives can also be achieved by knowing only the overall (bulk) characteristics of the reservoir, with no need for all the detailed and rarely known inputs. In this study, we introduce the concept of continuous succession of pseudosteady states as a method to perform the analysis of production data. It requires few input data yet is based on rigorous engineering concepts, which works during the transient- as well as the boundary-dominated-flow periods. This method consists of a combination of three simple and well-known equations: material balance, distance of investigation, and boundary-dominated flow. It is a form of a capacitance/resistance methodology in which the material-balance equation over the investigated region represents the capacitance and the boundary-dominated-flow equation represents the resistance. The flow regime in the region of investigation (the areal extent of which varies with time during transient flow) is assumed to be pseudosteady state. This region is depleted at a rate controlled by the material-balance equation. The initial flow rate and flowing pressure are used to define the resistance, and the distance of investigation defines the capacitance. The capacitance and resistance are then used in a stepwise procedure to calculate the depletion and the new rates or flowing pressures. The method was tested, for linear-flow geometry, against analytical solutions for liquids and numerical simulations for gas reservoirs, exhibiting both transient and boundary-dominated flow. Excellent agreement was obtained, thus corroborating the validity of the method developed in this study. Two practical examples are provided to demonstrate the applicability of the methodology to forecast production from tight and shale petroleum reservoirs. The proposed method is easy to implement in a spreadsheet application. It indicates that complex systems with complicated mathematical (e.g., Laplace space) solutions can be represented adequately by use of simple concepts. The approach offers a new insight into production analysis of tight and shale reservoirs, by use of familiar and easy-to-understand reservoir-engineering principles.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.077
GPT teacher head0.333
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it