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Record W2947258482 · doi:10.3968/11028

Optimization Program for Difficult-to-Produce Reservoir in Bonan Oil Feild

2019· article· en· W2947258482 on OpenAlexvenueno aff
Lu Zhang

Bibliographic record

VenueAdvances in petroleum exploration and development · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleum engineeringCasingDrilling fluidDrillingBlock (permutation group theory)Oil fieldEngineeringDrilling engineeringCompletion (oil and gas wells)Mechanical engineeringMathematics

Abstract

fetched live from OpenAlex

After many years’ development of oil reservoir in Shengli, tons of oil have been drilled out of reservoir and the condition of underground has been changed a lot. Nowadays, the quantity of oil production has been reduced rapidly, therefore, there is a new solution for old reservoir, to redevelop this reservoir with appropriate adjustment in drilling design and method. There are two main changes in this new solution, first one is to reduce the cost of wells in Yi 184 block. The second factor is optimizing parameters of the drilling design, such as casing program, drilling fluid system, drilling fluid material and etc. This paper is going to describe a solution for difficult-to-produce reservoir of Yi 184 block in Bonan oil field. It will be divided into 3 parts. The first part is introduction which is about the characteristics of formations and drilling difficulties in Yi 184 block. Second part is going to present the optimization of drilling design. Optimization of well construction and drilling fluid will be present in this part. The last part of this paper is a conclusion of the optimization program.

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 score0.176
Threshold uncertainty score0.339

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 head0.019
GPT teacher head0.255
Teacher spread0.235 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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