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Record W2092725583 · doi:10.2118/00-09-01

Weyburn CO2 Miscible Flood Conceptual Design and Risk Assessment

2000· article· en· W2092725583 on OpenAlexaboutno aff
William Barnhart, C. Coulthard

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2000
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
FundersChina Scholarship Council
KeywordsPetroleum engineeringOil fieldEngineeringRisk assessmentUnit (ring theory)Petroleum industryProcess (computing)Sour gasEnvironmental scienceOperations managementRisk analysis (engineering)Waste managementComputer scienceBusinessEnvironmental engineeringNatural gas

Abstract

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Abstract For the three years leading up to the end of 1995, a multidisciplinary project team evaluated the business opportunity of injecting carbon dioxide into a portion of the Weyburn Unit to improve recovery. As with any project of this magnitude, a comprehensive analysis of the opportunities and risks in the project had to be clearly defined and evaluated. A risk assessment using a Monte Carlo simulation approach was undertaken to combine the technical with the non-technical issues associated with the project in order to define the full cycle opportunities and risks. The risk assessment process was used to optimize the project configuration, to focus the team on key issues, and to find ways to mitigate the risks inherent in the project. Key uncertainties impacting the range in expected project returns appeared in the areas of commodity prices, reservoir performance, costs and fiscal terms. The risk assessment process and conceptual development plan, incorporating studies and analysis completed up to the end of 1995, is the subject of this paper. Introduction The Weyburn Unit, covering an area approximately 180 km2, is approximately 130 km southeast of Regina, Saskatchewan (Figure 1). The Unit is operated by PanCanadian Petroleum Limited on behalf of the working interest ownership. The field was discovered in 1955 and produced under primary depletion until an inverted nine spot waterflood was implemented in 1964. Production at the end of 1995 averaged 3,150 m3/d of medium sour crude from 650 oil producers, of which 90 were horizontal wells. At that time, it was postulated that more than 116 ? 106m3 of oil was expected to remain in the reservoir after the completion of waterflood operations, or 65% of the original 178 ? 106m3 in place. This large remaining oil in place represented a very attractive target for an enhanced recovery process. The Midale beds of the Weyburn field were deposited on a shallow carbonate shelf in the Williston basin. The reservoir is uniformly divided into the upper Marly, a chalky inter-tidal dolo-stone with limestone interbeds, and a lower Vuggy zone, a heterogeneous and highly fractured sub-tidal limestone. A more complete reservoir characterization was discussed by Elsayed et al.(1) FIGURE 1: Weyburn unit outline. (Available in full paper) FIGURE 2: Risk analysis is the centerpiece of a risk management process. (Available in full paper) An analogy to the Weyburn field can be drawn from the Midale Unit, situated just east of the Weyburn field. Shell Canada Ltd., the operator of the Unit, implemented a CO2 injection pilot in 1984 which was completed in 1988. Due to encouraging results from the pilot(2), Shell implemented a "CO2 demonstration project, " an eight pattern flood in 1991 which was designed to improve oil recovery from the area and provide technical and economic data to further assess full scale development potential. This flood is still in progress. Input data forming the basis of this assessment incorporated some of the Midale information as well as opinions from internal experts, industry consultants and other analogous CO2 floods in the Permian Basin(3).

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)0.002
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.991
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.011
GPT teacher head0.234
Teacher spread0.223 · 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

Citations21
Published2000
Admission routes1
Has abstractyes

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