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Record W2040418323 · doi:10.2118/162793-ms

Productivity Modeling of Multifractured Horizontal Wells Coupled With Geomechanics - Comparison of Various Methods

2012· article· en· W2040418323 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSPE Canadian Unconventional Resources Conference · 2012
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Calgary
FundersUniversity of Calgary
KeywordsGeomechanicsHydraulic fracturingPetroleum engineeringPermeability (electromagnetism)GeologyOil shaleWirelineGeotechnical engineeringReservoir engineeringReservoir simulationTight gasEngineeringPetroleum

Abstract

fetched live from OpenAlex

Abstract The advances in hydraulic fracturing technology and horizontal well completions have led in recent years to rapid rise in exploitation and development of tight gas and shale plays all over the world, and particularly in North America. The popularity of new field technology has in fact raised many new questions. In particular, for forecasting the productivity and EUR of multifractured horizontal wells, it is not clear if conventional reservoir simulation concepts can be adapted for modeling or if extra physics must be included to obtain realistic solutions. This paper presents various methods to model multifractured horizontal wells in tight gas sands using a conventional reservoir simulator coupled with geomechanics. Two actual wells in the same formation but with different fracturing techniques (i.e., Xlink gelled water fracs and un-gelled water (slick water) fracs) are studied. Detailed investigation of the role of fracture conductivity, effects of initial permeability level, net pay thickness, assumed size of the stimulated reservoir volume (SRV), and pressure or stress dependent permeability of the SRV and virgin reservoir were carried out by history matching the rate and cumulative production. It was established that i) history match is not possible without use of stress or pressure dependent permeability and ii) permeability dependence of pressure inside stimulated reservoir volume must be larger than in the rest of the reservoir. It was also observed that the standard method for using the same geomechanical data both in uncoupled reservoir and coupled geomechanical model will give incorrect results in terms of cumulative production. A new method based on uniaxial deformation theory is proposed to more accurately approximate the geomechanical effects in conventional reservoir simulators without running a fully coupled geomechanical simulator. The results from uncoupled reservoir modeling using the new method for correcting the permeability data for poroelastic effects were remarkably similar to rigorously coupled geomechanical modeling. This work will be of importance to engineers in analyzing and forecasting production performance of multifractured horizontal completions using numerical models. It will allow engineers to use uncoupled (conventional) reservoir modeling as a practical approximation of more complex coupled geomechanical models.

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 score0.313
Threshold uncertainty score0.980

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 head0.269
Teacher spread0.246 · 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