MétaCan
Menu
Back to cohort
Record W2020340005 · doi:10.2118/1014-0080-jpt

E&P Emphasis Is Now on the P

2014· article· en· W2020340005 on OpenAlexaboutno aff
Stephen Rassenfoss

Bibliographic record

VenueJournal of Petroleum Technology · 2014
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsOfficerChief executive officerPetroleum industryProduction (economics)PetroleumFossil fuelManagementEngineeringBusinessPolitical scienceEconomicsLawChemistryWaste managementEnvironmental engineering

Abstract

fetched live from OpenAlex

Unconventional E&P The focus in unconventional exploration and production is shifting to maximizing production. “The next big play is getting more out of what you have,” said Jay Ottoson, president and chief operating officer for SM Energy, at the recent Unconventional Resources Technology Conference in Denver. The math is simple. Adding one percentage point to recoveries from the top unconventional formations for oil and gas in the United States will add billions of billions of barrels of oil production and tens of trillions of cubic feet of gas, he said. There is plenty of room for improvement. The examples offered by Ottoson would increase the ultimate recovery rate in the biggest US oil plays from 5% to 6%. Comments by others during the conference, a joint project of SPE, AAPG, and SEG, indicated that range is not uncommon as companies look for ways to do better. Even at those levels, the growing flow of oil and gas from these extensive formations has pushed the US up toward the top of the list of the world’s producers. Scott Key, chief executive officer of IHS, said that in a few years, the United States will again emerge as the world’s largest producer of oil and gas. The production increase has been enough to boost the growth rate of the US economy, turning it into the low-cost producer in refining and chemical making and soon an exporter of liquefied natural gas, Key said. Rick Bott Jr., president and chief operating officer of Continental Re - sources, described the company’s approach as “we have a simple sort of strategy, we drill a lot of horizontal wells.” Anadarko is drilling about one well a day in the Wattenburg field in Colorado, said Brad Holly, vice president for the Rockies at Anadarko Petroleum. While the pace is steady, methods are constantly changing. Improvement is in the details. To begin with, the particulars include more precise drilling of clusters of wells that are spaced and fractured based on a growing understanding of how best to efficiently drain a formation. Continental, which was a pioneer in the Bakken in North Dakota, and SM reported pilot projects on what Bott called “down spacing,” that is, seeking gains by drilling wells on a single pad site to varying depths. “The technology is changing monthly,” he said. Coming are projects to enhance the output of older wells, such as installing downhole pumps and refracturing older wells. “We have not really started working on production enhancements,” Bott said. Anadarko is drilling horizontal wells to revive a formation where new wells must be carefully drilled around many old ones. “We are operating among 17,000 vertical wells. We need to minimize interference with existing wells that are as little as 15 ft away,” Holly said. Products displayed at the conference helped define the challenges of this sort of development. They promised information that could be used to make better development decisions, deliver it fast enough to keep up with rapid field work, and at a price that is in line with price-conscious mass production operations. Unconventional exploration and production is a bit like farming, said Don Westacott, chief adviser for global unconventional reservoirs at Halliburton, who grew up on a farm in western Canada. Both can be profitable enterprises, but they require expensive inputs, the cooperation of nature, skill, and persistence. And both farmers and oil companies can be so productive that they glut the market, driving down prices. Schlumberger offered a reminder of the challenges of this business during a display at its booth. At the bottom of the screen during a video on its TelePacer drilling platform, which is designed to help drillers drill wells according to plan, was a constant reminder that 40% of wells are subeconomic and 35% of all fracture stages do not contribute.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.793
Threshold uncertainty score0.291

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 head0.015
GPT teacher head0.259
Teacher spread0.244 · 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 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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Petroleum TechnologySame topicReservoir Engineering and Simulation MethodsFrench-language works237,207