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Record W4245407731 · doi:10.2523/95989-ms

Can Large Domain of Uncertainty Be Reduced for Two One-Well Fault Blocks?

2005· article· en· W4245407731 on OpenAlexaff
Sameh Macary, Bernard Ball, Perry Richmond, Mohamed El-Bramawy

Bibliographic record

VenueProceedings of SPE Annual Technical Conference and Exhibition · 2005
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsCitationExhibitionHaystackComputer scienceLibrary scienceChristian ministryDownloadWorld Wide WebInformation retrievalOperations researchEngineeringArt historyHistoryPolitical scienceLaw

Abstract

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Can Large Domain of Uncertainty Be Reduced for Two One-Well-Fault Blocks? Sameh Monib Macary; Sameh Monib Macary IPR Group of Companies Search for other works by this author on: This Site Google Scholar Bernard E. Ball; Bernard E. Ball IPR Red Sea Ltd Search for other works by this author on: This Site Google Scholar Perry Lee Richmond; Perry Lee Richmond Petrotel Inc. Search for other works by this author on: This Site Google Scholar Mohamed Ibrahim El-Bramawy Mohamed Ibrahim El-Bramawy Egyptian Ministry of Petroleum Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Annual Technical Conference and Exhibition, Dallas, Texas, October 2005. Paper Number: SPE-95989-MS https://doi.org/10.2118/95989-MS Published: October 09 2005 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Macary, Sameh Monib, Ball, Bernard E., Richmond, Perry Lee, and Mohamed Ibrahim El-Bramawy. "Can Large Domain of Uncertainty Be Reduced for Two One-Well-Fault Blocks?." Paper presented at the SPE Annual Technical Conference and Exhibition, Dallas, Texas, October 2005. doi: https://doi.org/10.2118/95989-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Annual Technical Conference and Exhibition Search Advanced Search AbstractTwo fault blocks, each containing one producing well, are part of a multiparty concession. Both blocks were tested by a major oil company in the mid 80's but proved to be non-commercial at that time and the wells were abandoned. Two further wells were drilled in early '01 and late '03 and have been on production since then. The short production history is common today for many companies pursuing marginal oil accumulations. Recent high oil prices have enabled viable production but the degree of uncertainty makes it difficult to diagnose reservoir performance and identify the best alternatives for future reservoir development.The producing mechanism for the two fault blocks is believed to be depletion drive. However, high dip with some evidence of fracturing indicates possible improved recovery via gravity drainage. Material balance calculations utilizing limited production history, few pressure measurements and uncertain PVT data make it difficult to resolve OOIP, prevailing drive mechanisms, and ultimate recovery.The BPP is also uncertain which consequently affects material balance.Accurate PVT data will give confidence in resolving the issue of whether a fault separating the two blocks is leaking.This fault is thought to be partially non-sealing as indicated by few uncertain pressure measurements, which complicate interpretations and decisions regarding further development.The offshore location limits artificial lift or secondary recovery options. Production capacity is allotted from a shared facility and future decisions will require agreement among the involved parties. These concerns, in addition to considerable G & G unknowns regarding seismic definition of structure, facies variation, poroperm characteristics etc., generate a large domain of uncertainty. This is exacerbated by the interests and visions of the different partners and local regulations.The best solution starts by an interdisciplinary team approach to enhance the understanding and potential impact of all available data through expert analysis and thoughtful integration. This results in more effective decisions regarding reservoir management and further development. PVT acquisition, multiphase metering, static modeling, reservoir simulation and infill drilling are some steps of an aggressive plan to develop this Concession.IntroductionThe case presented in this paper becomes popular in a world of big merges, where small to medium producers have to acquire separate blocks to be either explored or exploited at reasonable costs and fair revenues.Although a big player 20 years ago and tested oil at 6000 bopd from one well, he farmed out. Other owners, who also either did not realize interest or could not accommodate risk, did leave the area.As the profit from these small oil accumulations is marginal, these areas are characterized by low expense tendency and hence small volume of data available to optimize development plans or to even deeply understand the sub-surface system. Therefore, it is a must to work in an atmosphere of multidisciplinary to maximize the knowledge from the available rare piece of data.Regardless of being small fields, the limited number of wells, the constraints in getting some tests, and the limited surface facilities and capabilities have resulted in large domain of uncertainty. Accepting the concept of irreducible uncertainty, however we need to shrink our risk in developing these areas, the remaining reserves in which may or may not justify big development projects. Keywords: pvt measurement, production monitoring, producer, mechanism, reservoir study, drilling, pressure measurement, artificial lift, gas production, permeability Subjects: Well & Reservoir Surveillance and Monitoring, Reservoir Characterization, Fluid Characterization, Reservoir Simulation, Phase behavior and PVT measurements This content is only available via PDF. 2005. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.579

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 head0.024
GPT teacher head0.290
Teacher spread0.265 · 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".

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Citations0
Published2005
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