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Record W2809385214 · doi:10.2118/191203-ms

A Comparative Study of Mathematical Models for Fractured Reservoirs: Anomalous Diffusion and Continuum Approach.

2018· article· en· W2809385214 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 Trinidad and Tobago Section Energy Resources Conference · 2018
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsAnomalous diffusionLaplace transformFractalMechanicsBoundary value problemMathematicsStatistical physicsPhysicsMathematical analysisComputer science

Abstract

fetched live from OpenAlex

Abstract This study aims to determine an appropriate representative flow-model of a fractured reservoir after comparing two existing approaches: the anomalous diffusion and the continuum approach. A fractured reservoir is assumed in this paper that drains the fluid in transient condition, to a hydraulically fractured horizontal well. To investigate the comparison, dimensional consistency is maintained for both the anomalous diffusion and the continuum approach. Chen and Raghavan's (2015) model is considered as the anomalous diffusion model with modified boundary conditions. Continuum approach model considers the linear flow in a triple continuum structure that consists of matrix slab, micro-fracture, and hydraulic fracture. An analysis of the pressure response curves and the field data evaluates the proper approach for the analysis of the flow behavior. The solution of the wellbore pressure is derived in Laplace domain and is inverted by the Stehfest algorithm. Slope of the pressure response curve depends on the order of differentiation at the anomalous diffusion model. Conversely, the permeability of the hydraulic fracture controls the transient behavior at the continuum approach. The first set of analyses states that the continuum-based model considers the physical structure of the reservoir and increases the accuracy in the prediction of the reservoir behavior; however, more reservoir parameters are required for new continuum those are difficult to be determined. Alternatively, anomalous diffusion approach requires less parameter compare to the continuum approaches, but a high uncertainty exists in the precise determination of the order of the differentiation or the fractal exponent. The anomalous diffusion shows a good agreement with the synthesized field data at the early time whereas the continuum approach matches better at late time response.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.478
Threshold uncertainty score0.666

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.024
GPT teacher head0.240
Teacher spread0.216 · 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