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Record W2030563384 · doi:10.2118/2009-118

Reservoir Analysis and Simulation of an Oil Pool with a Leaky Fault

2009· article· en· W2030563384 on OpenAlexaff
A.M. Blasetti, L.A. Romualdez, V.T. Shaw

Bibliographic record

VenueCanadian International Petroleum Conference · 2009
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsDevon Energy (Canada)
Fundersnot available
KeywordsPetroleum engineeringReservoir simulationFault (geology)Computer scienceGeologySeismology

Abstract

fetched live from OpenAlex

Abstract Oil production from the Cecil Lake North Pine C pool in northeast British Columbia started in 1972. Due to the sand dune depositional environment, the reservoir has well sorted sand grains resulting in high permeability rock. The C pool directly offsets the larger Cecil Lake North Pine A pool to the north, separated only by a fault with a throw of about 40 meters. Pressure, depletion and material balance analyses clearly indicated flow communication between the A and C pools through what has to be a leaky fault. It was then necessary to include both oil pools in the geological modeling and reservoir simulation work. To allow flow communication, connections were established between the grid blocks on the fault edge of both pools. Based on the validated composite simulation model of both pools, it was found that incremental oil reserves can be realized from the C pool by providing energy support through down-dip water injection. However, this development scenario was deemed uneconomic due to the remoteness of the water source in the field and the challenging topography for laying the necessary water injection pipelines. Introduction The Cecil Lake North Pine A and C Pools are located in township 84, range 17 and township 84, range 18, West of the 6th meridian, just north of the Fort St. John Graben (Figures 1 and 2). Separated by a fault from the A pool, the C pool currently has a low oil recovery factor of about 12% OOIP. Therefore, a reservoir simulation study was conducted to gain a better understanding of its upside potential. Several C pool development scenarios were evaluated such as initiating a water injection scheme, further drilling of infill wells and blowing down the gas cap. Geological Overview The Cecil Lake North Pine A and C pools are separated by a normal fault trending northeast to southwest based on interpretation of available seismic data. The throw on this fault is approximately 40 meters as illustrated by the top North Pine porosity structure map (Figure 3). Previous geochemical work by Reidiger et al suggests that the source of the hydrocarbons in the Charlie Lake is the phosphate zone of the Doig and that the hydrocarbons migrated along vertical faults and fractures that cut through the impermeable dolostone, mudstone, siltstone and anhydrite zones of the Charlie Lake.(2) The North Pine Member of the Upper Triassic Charlie Lake Formation, part of the Schooler Creek Group, consists of a fine to medium grained, moderately to well sorted and well rounded, calcareous quartz sandstone and cryptocrystalline anhydrite. This zone is up to four meters in thickness, and approximately 650 meters below sea level in the Cecil Lake Area (Figure 4). The North Pine is interpreted to be an erosional remnant of an Aeolian dune field, deposited within a sabkha and lagoonal environment as part of a barrier island complex.(1) The Cecil Lake North Pine sandstone averages 2 – 4 meters in gross thickness with an average net pay of approximately 2.0 meters (Figure 5).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.106
Threshold uncertainty score0.212

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.266
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2009
Admission routes1
Has abstractyes

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