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Record W2615156633 · doi:10.2118/185504-ms

Assessment of Economic Viability of Various Field Development Strategies

2017· article· en· W2615156633 on OpenAlexaff
Loveday C. Igbokwe, M. Hossain

Bibliographic record

VenueSPE Latin America and Caribbean Petroleum Engineering Conference · 2017
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsWater injection (oil production)Payback periodEnvironmental sciencePetroleum engineeringProfitability indexOil productionEnhanced oil recoveryOil fieldBarrel (horology)Water cutNatural gasProduction (economics)EngineeringWaste managementEconomics

Abstract

fetched live from OpenAlex

Abstract This paper presents a comprehensive perspective for comparing field development strategies (i.e. setting up oil field for production) by outlining a simple approach to help the integrated asset team in making decision on which method would be most appropriate. The field development options considered were natural depletion, water injection, gas injection, and water alternate gas (WAG). UBED field was discovered in 1974, water depth is 130 m with initial reservoir pressure of 446 bars and 35,681,991 m3 estimated oil initially in-place (OIIP). Preliminary assessment using the material balance indicated about 25% ultimate recovery. Each scenario was optimized for maximum hydrocarbon recovery at the lowest cost per barrel by optimizing of wells, and critical gas saturation (i.e. 0% and 10% respectively). Economic analysis was performed using NPV, profitability index, payback period, and IRR on the cases. For each scenario, a plateau rate of 15% is maintained per year at a production rate of 3500 m3/d as benchmark. The various economic impacts on the project were determined and the results are presented. Results shows that estimated ultimate recoveries (EUR) were 30.9%, 53%, 37.2% and 53.5% for natural depletion, water injection, gas injection, and water alternate gas injection schemes respectively. The best production option for UBED reservoir lies between water injection and WAG injection. The comparison between the two scenarios shows that WAG is less costly and to develop the reserves while recovery, and profits are very high. Production plateau can also be sustained economically for longer period with shorter pay back on investment. In addition, WAG shows better EUR, a shorter production plateau of about 4% increases in over the water injection. This increase was not offset by profit indices, and payback. In this scenario, a gas compressor was installed which resulted in an increased capital expenditure (CAPEX). The revenues, expenses, and profits from each scenario are compared for the various development options at the end of the section and a proposed plan is selected based on economic parameters. The comparative economic assessment of the UBED field case in this study adequately addresses critical cost parameters relevant to field development studies, and integrated comparison of profitability indicators from which reliable economic decision can be reached.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.276
Teacher spread0.261 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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