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Record W2054362666 · doi:10.2523/iptc-11657-ms

Reservoir Rock Behavior Pre and Post Pore Collapse during Production

2007· article· en· W2054362666 on OpenAlexaff
Hadi Belhaj, Alireza Nouri

Bibliographic record

VenueInternational Petroleum Technology Conference · 2007
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCompactionPermeability (electromagnetism)PorosityBreakageGeotechnical engineeringGeologyPore water pressureEffective stressCementGrain sizeMaterials scienceComposite materialChemistry

Abstract

fetched live from OpenAlex

Abstract It is very common that effective stresses increase as reservoir fluids being produced from both shallow and deep reservoirs. It may seem reasonable to assume that permeability and porosity decrease as pore pressure declines, since effective volumetrical stresses become intensified during reservoir depletion. However, laboratory results show that this is not always the case. A series of very delicate experimental procedures was conducted to reveal some of the most interesting phenomena in pore collapse and their impact on permeability. Sandstone samples were tested using a triaxial set-up. Experimental results show that porosity is certainly decreases as a result of the compaction process, which allows the breakage of grain-to-grain cement bonds. Grain particles will become more compacted as both lateral and axial effective stresses increase. On the other hand, permeability shows no definite trend. In weak reservoir formation, pore collapse does not occur suddenly. Rather, rocks gradually compact as grain-to-grain cement bonds break down. It was found that permeability indeed changes as effective stresses increase. Nevertheless, the pathway to permeability was found to be much more complex than previously stipulated. It was discovered that enhancement or damage to permeability is not a function of pore collapse alone. Other factors, such as stress path, initial porosity, particle size, and particle shape and distribution play a major role in determining the type of permeability alteration and the severity of this change. Introduction As reservoir production continues during pressure depletion process, effective stresses within the reservoir increase. It may seem reasonable to assume that the effect of stresses on porosity and permeability of the reservoir is more severe when porosity and permeability are high, although some experimental studies like Hubbert and Willis1, Voight2, and Rosepiler3 showed this effect is still significant even at low porosity and permeability. It is also understood that stress paths have a large influence on horizontal and vertical permeability and also on porosity. The elastic uniaxial strain model is mostly used in reservoir engineering to describe production-induced changes in horizontal stress due to pore pressure decline (pressure depletion). It predicts the total horizontal stress by using overburden stress, reservoir pressure decrease, and material mechanical parameters. The principal assumption in this model is that there is no lateral deformation (zero horizontal strain condition) during the depletion process. For a sandstone rock, Ruistuen et al.4 showed that the ratio of change in minimum effective horizontal stress to the change in effective vertical stress in a reservoir depletion process was 0.53. This effective stress relationship was believed to be the same for production-induced or geologically-induced changes in pore pressure, i.e. before reservoir disturbed by production. Schutjens et al.5 concluded that in an elastic domain of deformations, permeability reduction is predominantly controlled by mean effective stress increase and not by stress path. Depletion of the reservoir may contribute to the failure of the formation in two ways. Pore collapse is one of the mechanisms which in fact is a volumetric failure. This mechanism is mainly activated where lateral displacement is either zero or small. In this case, shear failure cannot take place and the only mechanism for material disaggregation would be pore collapse through volumetric failure. For this mechanism to be activated, material must have a high porosity and low strength. If the stress path meets the cap, i.e. volumetric failure surface, volumetric failure takes place. Another failure mechanism induced by depletion is shear. As the reservoir pressure depletes, effective stresses increase. The increase of effective stresses around the wellbore deforms perforation cavities and shears them. Depletion induces shear stress increment, which adds to the shear stress induced by pressure drawdown. As depletion increases, shear failure develops, which, in the worst condition, fails it.

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.

How this classification was reachedexpand

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
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
Bibliometrics0.0010.000
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 head0.006
GPT teacher head0.233
Teacher spread0.226 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2007
Admission routes1
Has abstractyes

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