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Record W2176949916 · doi:10.2118/151453-pa

Colorado Drill-Cuttings-Injection Pilot Results

2012· article· en· W2176949916 on OpenAlexaff
Kenneth R. Kunze, Edgar E. Romero, Steven Duck

Bibliographic record

VenueSPE Drilling & Completion · 2012
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsImperial Oil (Canada)
Fundersnot available
KeywordsDrill cuttingsDrillingCuttingDrillCasingDrilling fluidGeologyEngineeringPetroleum engineeringEnvironmental scienceMechanical engineering

Abstract

fetched live from OpenAlex

Summary From December 2007 through April 2011, the operator conducted a two-phase drill-cuttings-injection pilot at the Piceance field in western Colorado to reduce the environmental footprint of drilling operations. This was the first subsurface injection of drill cuttings in Colorado, and it used a lost-circulation zone in the Wasatch G formation as the injection interval. The first phase of the pilot was to assess the technical feasibility and formation response to injection. During this phase, water-based mud and drill cuttings from four wells were injected into a fifth well that was temporarily suspended at the intermediate casing and perforated in the Wasatch G formation. More than 40,000 bbl of fluid was injected during vacuum conditions with confirmed confinement to the target zone. On the basis of the injection results, the pilot progressed to a second phase to assess the logistical requirements of transporting cuttings from multiple drilling locations to a central processing-and-injection site. The injection well selected had experienced lost returns in the Wasatch G when originally drilled and was completed as a dedicated injector. The pilot processed cuttings from three active rigs, and it demonstrated the capacity to process cuttings from more than six rigs. The operator proved injection as a technically feasible option for drilling-waste disposal during full-field development at Piceance.

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 categoriesMeta-epidemiology (narrow)
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 score0.355
Threshold uncertainty score1.000

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 head0.022
GPT teacher head0.215
Teacher spread0.193 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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