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Record W2057427354 · doi:10.2118/00-11-02

Modelling the Reservoir Mechanisms for Gas Cap Blowdown of the Virginia Hills Belloy Reservoir

2000· article· en· W2057427354 on OpenAlexafffundabout
Frank Kuppe, S. Chugh, J.D. Kyles

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2000
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsShell (Canada)
FundersUniversity of AlbertaSuncor Energy Incorporated
KeywordsBoiler blowdownPetroleum engineeringSaturation (graph theory)Natural gasGeologyReservoir simulationNatural gas fieldPermeability (electromagnetism)Oil fieldResidual oilCompletion (oil and gas wells)Hydrology (agriculture)Environmental scienceGeotechnical engineeringEngineeringGeomorphologyChemistryWaste managementInlet

Abstract

fetched live from OpenAlex

Abstract Concurrent gas and oil production from the Virginia Hills Belloy Shunda Unit #1 was considered. A full field simulation study was used to evaluate the impact of initiating early blowdown of the gas cap. An excellent match of the production, pressures, and two-phase interface movements was achieved. The model predicts that early blowdown and delayed blowdown cases achieve comparable ultimate oil and gas recoveries. The role of the well established water fence between the gas cap and oil leg, unique reservoir characteristics and reservoir management strategy, which contribute to this result, are discussed. Research and analytical work was a prerequisite to the simulation study to establish many of the model input parameters. Conformance plots are discussed and used to determine:how efficient reservoir depletion has been to date anda residual oil saturation. Results of the simulation study also confirm the input relative permeability curves and trapped gas saturation obtained from referenced studies. Introduction The Virginia Hills Belloy field is located approximately 165 km northwest of Edmonton, Alberta in Townships 63 and 64, Range 13 and 14, W5M (see Figure 1). The field was discovered in 1970 during the development of the nearby Virginia Hills field and was initially developed as a gas pool. Up dip movement of the oil column towards the gas cap led to the discovery of the oil leg in 1976. By 1978, the oil column was delineated with 21 oil wells. The gas cap was shut-in by 1980 after having produced approximately 800 E6m3. A waterflood was implemented as an up dip line drive while also creating a water fence between the gas cap and oil reserves in 1981 (Figure 1). Down dip water injection began in 1991. Since 1994, a total of seven horizontal (five successful, two wet) wells have been drilled to recover bypassed oil. One of the five successful horizontal wells was drilled on the basis of this simulation study. With the field maturing, a simulation study was commissioned to determine the ultimate recovery and whether oil and gas recovery would be impacted by early blowdown of the gas cap. With the existing gas plant approaching turndown and economic limits, decommissioning the plant in 1999 would be followed by capital expenditures to re-inject the sour gas and eventual blowdown of the gas cap. Early blowdown would conserve capital and make efficient use of existing resources. In addition, concurrent production (early blowdown) would result in a reduction of the operating life by 12 years, and thereby also reduce associated expenses. FIGURE 1: Location of producers and injectors in Belloy Field. (Available in full paper) From a regulatory perspective, approval for concurrent production is normally not considered unless the pool is in the final stages of depletion (greater than 90% of ultimate recoverable oil) and the ultimate recovery is not impacted significantly. Depending on the recovery estimate used, current recovery from Belloy is between 80 – 90% of ultimate oil recovery. This study will show that concurrent production of oil and gas from the Belloy pool does not adversely affect hydrocarbon recovery.

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)0.001
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 score0.172
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.012
GPT teacher head0.223
Teacher spread0.211 · 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 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

Citations4
Published2000
Admission routes3
Has abstractyes

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