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Record W4406298800 · doi:10.54859/kjogi108787

Polymercationic Drilling Fluids for Well Construction in Challenging Mining and Geological Conditions

2024· article· en· W4406298800 on OpenAlexaff
Artem V. Yaremko, R. A. Yussubaliev, A.M. Gaidarov

Bibliographic record

VenueKazakhstan journal for oil & gas industry · 2024
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsPetroleum engineeringDrillingGeologyMining engineeringConstruction engineeringEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Background: Oil and gas well drilling involves the use water- and hydrocarbon-based drilling fluids for flushing. While hydrocarbon solutions offer several advantages—such as preventing rock softening on the wellbore walls, reducing the formation of caverns due to instability in clay rocks, and dissoving salts (like halite, sylvinite, and bischofite), and preserving the natural reservoir properties of productive formations—they also have significant drawbacks. These disadvantages are related to the properties of the dispersion medium, which limits their overall application. The dispersion medium in hydrocarbon solutions consist of compounds that are both environmentally and flammable, such as kerosene, diesel fuel, olefins, various oils, etc. Increasing concern from government and environmental organizations regarding the environmental impact of drilling fluids using hydrocarbon dispersion medium have promted the industry to focus on water-based solutions. Despite several significant disadvantages, water-based drilling fluids are still more in demand than hydrocarbon ones. Although there is a preference for hydrocarbon systems, approximately 85% of all drilling fluids used worldwide today are water-based. This study focuses on a new approach in the field of water-based drilling fluids: the development, creation and implementation of polymer cationic systems. The idea of developing new water systems involves creatng polymer cationic working fluids that combine the beneficial properties of hydrocarbon and aqueous solutions. Aim: To research and develop modern polymer cationic drilling fluids for well construction in the Republic of Kazakhstan. Materials and methods: Polymer cationic drilling fluids were selected as the objects of study. To address the research objectives, experiments were conducted under both laboratory and field conditions. Results: This article presents the findings of laboratory tests and field trials conducted in the fields of the Russian Federation and the Republic of Kazakhstan. Conclusion: For the first time in global practice, stable polymer cationic drilling fluids have been developed and successfully tested, combining the advantages of aqueous and hydrocarbon systems. Both theoretical and practical principles for managing the properties of polymer cationic solutions have been established. The application of modified polymer cationic drilling fluids in well construction at the at the Astrakhan field and the Uzen field has demonstrated their high performance. This innovation has enabled the prevention of production isuues, increased mechanical speed of drilling, improved wellbore condition, reduced cavern porosity, and successfully completed the construction of over 20 wells. Additionally, it facilitated implementation of high-density solutions for killing brine and other related tasks.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.016
GPT teacher head0.257
Teacher spread0.242 · 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 designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

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