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Record W2017248386 · doi:10.2118/145433-ms

Forties Infill Drilling Eight Years on; Continued Success Through the Application of Thorough Development Geoscience Driven by 4D Seismic

2011· article· en· W2017248386 on OpenAlexaff
Philip Rose, Gregg Barker, Klaas Koster, Jeff Pyle

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsApache (Canada)
Fundersnot available
KeywordsDrillingInfillGeologyEconomic shortagePetroleum engineeringMining engineeringEngineeringCivil engineering

Abstract

fetched live from OpenAlex

Abstract In the eight years since Apache purchased the Forties Field from BP over 100 infield targets have been drilled with an overall success rate of 74%. As a result of this infill drilling campaign the field production rate has been held at a plateau rate of 60,000 bopd despite an average rate of 41,000 bopd in 2003, the year of purchase from BP. Indeed the success of this campaign has resulted in a shortage of sidetrack donor wells so there has been a return to surface drilling on all five platforms. Furthermore, to enable the full exploitation of the forward target portfolio Apache is installing a new 18 slot platform, the Forties Alpha Satellite Platform (FASP) in 2012. Key to Apache's success on Forties has been a constant drive to push the boundaries of 4D seismic interpretation and lithology prediction from seismic and the ability to integrate this information with local production and well data. In this paper case histories are presented to illustrate our approach to target generation and the evolution of target generation over time is evaluated. The above methodology has led to many convincing successes over the years. The acquisition of a new 4D seismic volume in 2010 has resulted in a significant boost to our drilling results, allowing us to have our most productive drilling 6 months to date, including one well with an initial production rate of 12,000 bopd, the highest initial rate recorded in the field since 1992.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.221
Teacher spread0.200 · 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 designObservational
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

Citations12
Published2011
Admission routes1
Has abstractyes

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