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Record W2058626238 · doi:10.2118/0215-0078-jpt

Technology Focus: Drilling Technology (February 2015)

2015· article· en· W2058626238 on OpenAlexaff
Mike Weatherl

Bibliographic record

VenueJournal of Petroleum Technology · 2015
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsApache (Canada)
Fundersnot available
KeywordsDrillingWitnessEngineeringEmerging technologiesWork (physics)Petroleum industryPetroleum engineeringComputer scienceMechanical engineering

Abstract

fetched live from OpenAlex

Technology Focus I have been a witness to the evolution of drilling technology during the past 33 years, and being part of this industry has been a great privilege and an adventure. Nowhere else are these new and evolving technologies more accessible or better documented than in SPE media. In this Drilling Technology feature, a few example papers from recent industry events have been selected to highlight new ways extreme challenges are being addressed and solutions are being applied to deliver game-changing breakthroughs in the way wells are being delivered. Geosteering of multilateral wellbores in mature reservoirs in Kuwait using geochemical analysis is an example of the kind of cross-discipline interaction that has become a hallmark of successful well delivery. Drilling engineers are dedicated as a part of the core team early in the project-planning phase. Here, Earth scientists and engineers develop effective communication and working relationships and become fluent in the languages of other disciplines. As is often said, all of the easy reserves have been produced. Long gone are the days when low-risk, low-cost wells were drilled, completed, and put on production for a quick payout. Today, to extract value from complex reservoirs with ever- increasing cost and risk, using innovative techniques and new ideas is the name of the game. Seamless, multidiscipline work flows and imbedded integrated teams continue to present significant opportunities within the industry and will for many years to come. The application of managed-pressure drilling (MPD) and underbalanced drilling (UBD) has evolved across the spectrum of offshore, onshore, new-field, and mature developments in recent years. Experienced teams report with increasing frequency that they were able to deliver wells and reserves using MPD/UBD that otherwise would have been undrillable. Considering the narrowing pore-pressure and fracture-gradient windows over the life of the field, with increasing depletion and reinjection, applications for these technologies are expected to continue to expand. Two related articles are featured showing dramatic geographic and well-type diversity: MPD offshore Vietnam and high-pressure/high-temperature UBD onshore US in the Marcellus shale. Two very different case histories share a common element: a departure from conventional drilling fluid, well control, and overbalanced drilling. A review of recent SPE papers and presentations at industry events indicates applications of MPD/UBD technologies are widespread. On the other hand, looking at the fields where these strategies have not yet been implemented, one gets the feeling that perhaps these are still early days. Finally, evolution in drillstring design is detailed in a paper addressing recent technology advancements and practical considerations associated with extreme deepwater drilling applications. Once again, ever-increasing well complexity, depths, pressures, and temperatures demand new materials, new procedures, and aggressive innovation. Mechanical integrity and reliability under extreme static and dynamic loads will continue to dictate systematic design, manufacturing, and testing to deliver well objectives. These are but a small sample of the many excellent papers recently generated. JPT Recommended additional reading at OnePetro: www.onepetro.org. SPE 166456 Newtonian Fluid in Cementing Operations in Deepwater Wells: Friend or Foe? by Polina Khalilova, Schlumberger, et al. SPE 166166 Casing While Drilling Using Rotary-Steerable Technology in the Stag Field—Offshore Australia by Kyle S. Graves, Apache, et al. OTC 24189 Taking the Proper Action to Gas Influx During Constant-Bottomhole- Pressure Technique of Managed-Pressure Drilling by Ali Karimi, The University of Tulsa, et al. SPE/IADC 170550 Novel Lubricant/ Bridging-Agent Combination Cures Differential-Sticking Problems in High-Pressured North Kuwait Wells by M.S. Al-Muhailan, Kuwait Oil Company, et al.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.543
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.212
Teacher spread0.204 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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