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Record W1999026624 · doi:10.1190/urtec2013-105

Drilling Fluids: Tackling Drilling, Production, Wellbore Stability, and Formation Evaluation Issues in Unconventional Resource Development

2013· article· en· W1999026624 on OpenAlexaboutno aff
Mike Stephens, Wenwu He, Michael Freeman, George B. Sartor

Bibliographic record

VenueUnconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013 · 2013
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleum engineeringDrillingOil shaleDrilling fluidWellboreDrillGeologyUnconventional oilDirectional drillingOil sandsDrilling engineeringMining engineeringEngineeringMechanical engineeringArchaeology

Abstract

fetched live from OpenAlex

Summary URTeC 1576637 Unconventional resources encompass a wide range of reservoir types. The art of designing and engineering drilling fluids for unconventional resources should not just enable rotary drilling, but also prevent wellbore instability, protect production, and facilitate formation evaluation. In some cases, geosteering, based on logs or cuttings analysis, is part of the drilling process. In addition, many unconventional wells have trajectories that require excellent lubricity to drill. Drilling fluids must be tailored to achieve the goals for each well. Examples of how drilling fluids have been developed for low-porosity microfractured gas sand, oil shale, and tar sands are presented. In low-permeability gas sands in South Asia, preserving natural fractures in the near wellbore region was critical to obtaining maximum production. In Canadian tar sands, preventing hole washout in the production interval was critical for obtaining maximum production. In the Texas oil shale, replacing oil-based drilling fluid with water based alternatives had implications for formation evaluation, wellbore stability and well length in the production interval. Emphasis is placed on the design process for developing drilling fluid systems that contribute to meeting critical objectives for each project.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.245
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.229
Teacher spread0.214 · 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.

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

Citations7
Published2013
Admission routes1
Has abstractyes

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Same venueUnconventional Resources Technology Conference, Denver, Colorado, 12-14 August 2013Same topicHydraulic Fracturing and Reservoir AnalysisFrench-language works237,207