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Record W2067573820 · doi:10.2118/130266-pa

Design and Performance Evaluation of a Unique Deepwater Cement Slurry

2011· article· en· W2067573820 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSPE Drilling & Completion · 2011
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsCementDeepwater drillingSlurryDispersantDrilling fluidPetroleum engineeringCompressive strengthOil wellEnvironmental scienceEnvironmentally friendlyDrillingGeotechnical engineeringMaterials scienceGeologyComposite materialEnvironmental engineeringMetallurgy

Abstract

fetched live from OpenAlex

Summary The exploration and development of deepwater hydrocarbon resources necessitate the fast evolution of drilling and completion technologies for deepwater wells. To drill and complete deepwater wells successfully, sophisticated technologies need to be developed to solve various problems arising from low temperature, weak formations, shallow water/gas flow, environmental protection, and high deepwater rig rate. It is a challenge to develop a good cement slurry that can be used successfully for deepwater wells under low-temperature environment. Such cement slurry should have several distinct properties, such as a short thickening time, a fast transition from liquid to solid, a rapid development of compressive strength, and environmental friendliness. It usually takes a long time for conventional cement slurry to set and only limited compressive strength can be achieved at low temperatures. In addition, most additives used for the conventional cement have adverse effects on the environment. Therefore, it is of upmost importance to design an environmentally friendly and low-density cement slurry that is appropriate for deepwater wells. In this paper, a new deepwater cement [sulfur polymer cement (SP-C)] was designed and tested for the first time. This new deepwater cement combines the advantages of the sulfoaluminate cement and Class G oilwell cement. Green cement additives including cement dispersant, fluid-loss-control agent, and accelerator were also developed. Consequently, a unique low-density cement slurry was obtained for deepwater-well applications. Laboratory tests showed that the low-density slurry exhibited favorable properties including the nonexistence of free fluid, an excellent fluid-loss-control capability, a short waiting-on-cement time at low temperatures, and a shortened transition time of critical gel strength. This new cement slurry can be easily prepared and applied in deepwater wells without adverse impacts on the marine environment.

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.

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 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 score0.390
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.067
GPT teacher head0.220
Teacher spread0.153 · 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