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Record W1963867648 · doi:10.2118/1106-0014-jpt

Comments: Industry Legends

2006· article· en· W1963867648 on OpenAlexaboutno aff
John Donnelly

Bibliographic record

VenueJournal of Petroleum Technology · 2006
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsPresidencyExhibitionPetroleum industryTributeManagementGovernment (linguistics)Economic historyLawArt historyPolitical scienceLibrary scienceEngineeringHistoryPhilosophyPoliticsEconomics

Abstract

fetched live from OpenAlex

Often overlooked, some of the pioneers responsible for significant advancements in this industry have been getting recognition recently. At last month's SPE Russian Oil and Gas Technical Conference and Exhibition in Moscow, the closing session was devoted to "Legends of the Russian Oil and Gas Industry." Fourteen individuals representing industry, academia, and government were recognized. Russia has made numerous contributions to upstream technology development, from the invention of the electrical submersible pump to innovative applications of subsurface imaging and fracturing techniques. Among those honored was Rern Ivanovich Viakhirev, who was Chairman of the Board of Gazprom for almost a decade and who managed the company's growth through the Yeltsin presidency and the early years of the Putin presidency. A former First Deputy Minister of the Gas Industry of the Soviet Union, Viakhirev led the company through its privatization. Also honored was Anatoly N. Dmitrievsky, Director of the Inst. for Problems in Oil and Gas at the Russian Academy of Science. He helped found the institute, the leading Russian academic organization that studies how science and technology can benefit oil and gas production and development. During the 2006 SPE Annual Technical Conference and Exhibition in San Antonio in September, tribute was paid to "Legends of Hydraulic Fracturing." Receiving the honors were Claude E. Cooke Jr., Jacques L. Elbel, C. Robert Fast, Robert R. Hannah, Larry J. Harrington, Thomas K. Perkins, Michael Prats, H.K. Van Poollen, Francis E. Dollarhide, George C. Howard, J.L. Huitt, and Ronald P. Nordgren. The one-time-only reception was conceived of by an SPE committee formed by Carl Montgomery, Engineering Fellow for ConocoPhillips, and Mike Smith, President and Cofounder of NSI Technologies. Some estimate that hydraulic fracturing has increased recoverable oil and gas reserves in North America by as much as a third. "These pioneers, in essence, raised the current generations of hydraulic fracturing engineers," Montgomery said. "Their combined expertise represents the technology from its inception. Their legacy is a thorough comprehension of what came before and what might lie ahead. Debatably, I can't think of a single technology that has had a greater impact on the bottom line of every production company." And last month, a celebration was held marking the 30th anniversary of the Peng-Robinson equation of state at the birthplace of the mathematical milestone: Edmonton, Canada. Hosted by the Schlumberger Reservoir Fluids Center, the event included technical presentations, a commemoration ceremony, and the announcement that the center would change its name to the DBR Technology Center in honor of the late Donald Baker Robinson. It was Robinson who, as a professor of chemical engineering at Edmonton's U. of Alberta, developed the formula along with then-research associate Ding-Yu Peng, now a professor at the U. of Saskatchewan. The equation, published in 1976, enables engineers to make accurate predictions about the behavior of materials in variable pressure and temperature conditions, information critical in reservoir decision making. The formula quickly became known around the world. Robinson went on to form DB Robinson and Assocs. in 1980, a firm Schlumberger bought in 2003. Among those making presentations at the anniversary event chaired by Schlumberger New Venture Project Manager Ahmed Hammami were Jeff Creek of Chevron Energy Technology Co., Alan Mather of the U. of Alberta, John Carroll of Gas Liquids Engineering Ltd. of Calgary, Sanjoy Saha of Honeywell, Peter Englezos of the U. of British Columbia, Harvey Yarranton of the U. of Calgary, and Dan Zhang, Fluid Modeling Software Manager at the DBR Technology Center. Also on hand were Peng and members of Robinson's family.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score0.361

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.004
GPT teacher head0.206
Teacher spread0.202 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2006
Admission routes1
Has abstractyes

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