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Record W1997951440 · doi:10.4043/19530-ms

Geomechanics in Integrated Reservoir Modeling

2008· article· en· W1997951440 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

VenueOffshore Technology Conference · 2008
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsGeomechanicsGeologyGeotechnical engineeringCompactionPetroleum engineeringSubsidencePore water pressureEngineering geologyPetrologySeismologyGeomorphologyVolcanismTectonics

Abstract

fetched live from OpenAlex

Abstract This paper will discuss the current state of reservoir geomechanics and consider several areas of reservoir development and management where geomechanical influences are important. In order to better integrate our workflows, coupled simulation is often used to exchange parameters between individual modules that are typically run in standalone mode for reservoir flow simulation, seismic modeling or geomechanical modeling. This paper will discuss coupled geomechanics and flow simulation to illustrate several impacts of reservoir depletion (e.g. compaction and subsidence, stress arching in the overburden and casing shear in the wells) and examine the connection between geomechanics and geophysics and areas where coupling of these disciplines can benefit exploration and production. Two generic examples are presented - one representing North Sea chalk reservoirs and the other representing deepwater turbidites. Reservoir compaction and resulting subsidence are well known examples of geomechanical behavior. During depletion, the reservoir pressures decrease and effective stresses increase. The rocks deform through a combination of elastic (recoverable) and inelastic (permanent) strain, with plastic deformation occurring primarily as the stresses increase beyond the compaction limit or "collapse" stress. The deformation creates a "compaction drive" (additional pressure support) in the reservoir that can improve recovery. However, one must also deal with the undesirable effects - the environmental impact of subsidence, possible fault reactivation, and integrity of wells crossing faults etc. - and geomechanics allows us to evaluate these effects. In other applications, incorporating geomechanics in the interpretation of repeat 4D seismic surveys improves our ability to isolate and resolve the signatures of variations in fluid saturations. Finally, the primary concern in drilling and completion engineering is wellbore stability during drilling and well integrity during the producing life of the well. The heterogeneity of stress changes in layered reservoirs and overburden due to depletion-induced differential reservoir compaction poses specific technical challenges e.g. casing shear deformation - and geomechanics plays an important role in modeling studies associated with the evaluation of such challenges.

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 score0.135
Threshold uncertainty score0.736

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.221
Teacher spread0.200 · 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