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Record W2790758604 · doi:10.4043/28491-ms

Large Diameter Hybrid Bit with Sharp and Dense Inserts Drills Hard Carbonate Formations with Exceptional ROP

2018· article· en· W2790758604 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

VenueOffshore Technology Conference Asia · 2018
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsConocoPhillips (Canada)
FundersConocoPhillips
KeywordsRate of penetrationDrillingGeologySubmarine pipelineDrill bitDrillOffset (computer science)Bit (key)CarbonatePetroleum engineeringGeotechnical engineeringComputer scienceEngineeringMaterials scienceMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Carbonates are often drilled with aggressive drill bit features such as sharper PDC cutter chamfers and lower backrakes of the cutters. Bit aggressiveness features can produce higher penetration rates through hard carbonates, but the potential for increased wear can be detrimental over long intervals. A field in the Timor Sea, offshore Northern Australia, has an 1800m surface hole interval where the chosen drill bit design must be capable of drilling a long carbonate section, prior to intercepting a hard, interbedded section. After this section, there is another long carbonate formation before casing point. Sustaining any slight cutter edge dulling can dramatically affect the penetration rate potential in the interbedded section, and the bit's ability to drill the post interbed section. Hybrid technology in 17.5" hole size was recommended for this field during a 2014 drilling campaign due to its increased durability through interbeds as compared to conventional PDC technology. This durability was seen in offset fields in the region, and had resulted in performance advantages and time savings. The new hybrid bit was used on the first well with success, drilling the interval in one run, as compared to the 2-3 bit runs seen on prior wells in the region when using conventional PDC and TCI technology. With learnings from this first well, a design change was implemented which saw the hybrid TCI cones employ a sparser wedge heel instead of ovoid heels. These modifications saw minimal change in performance on the later wells. From the 2014 campaign results, a recommendation was made to increase the insert heel aggressiveness. Development and improvement in insert carbide grades during 2015-2016 led to the capability and introduction of increased integrity and aggressiveness with conic geometry inserts introduced to hybrid TCI cutting structures. New hybrid designs with the sharper and higher density insert cutting structure were used in offset fields and showed strong performance improvements. During the most recent 2017 drilling campaign, the sharp conics and dense insert cutting structure layout of the new Hybrid product line was applied in the Timor Sea and mirrored the performance advantages seen on offsets. A previous interval best time of 73.2hrs in 17.5" hole was reduced to just 37.7hrs with a sharp and dense hybrid design and to just 26.3 hours with a 16" hybrid utilising the new design features, reducing time taken to drill the interval by 50% and 65%. This paper illustrates the design history, lessons learnt, and differences in insert geometry and how this contributed to the improvement in penetration rate in a challenging application.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.737
Threshold uncertainty score0.808

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 head0.007
GPT teacher head0.186
Teacher spread0.179 · 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