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Record W2052308143 · doi:10.4043/14336-ms

Accelerating the Commercialization of Deepwater Technology - a Global Overview

2002· article· en· W2052308143 on OpenAlexaboutno aff
Art J. Schroeder, Emil Pena

Bibliographic record

VenueOffshore Technology Conference · 2002
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsnot available
FundersPetrobras
KeywordsPetroleumCommercializationPetroleum industryFossil fuelCrude oilConsumption (sociology)Tight oilEngineeringAgricultural economicsManagementBusinessOperations researchEconomicsPetroleum engineeringMarketingGeologyWaste managementSociology

Abstract

fetched live from OpenAlex

Abstract This set of speaker notes introduces the subject, which is the topic of a panel discussion for the 2002 Offshore Technology Conference. Participants include;Mr. Claude Mandil; Chairman, Institut Francais du Petrole (IFP)Mr. B John Sheets; Project Manager, DeepStarDr. Kate Moran, Director, Atlantic Canadian Petroleum InstituteDr. Bill Lawson; Manager, National Petroleum Technology Office, U.S. Department of EnergyMr. Marcos Assayag; Petrobras Deepwater R&D Program Coordinator, ProCap 3000Dr. David Ellix; Managing Director, Industry Technology FacilitatorDr. Keith Millheim; Manager; Operations, Technology & Planning, AnadarkoMr. Richard D'Souza, Vice President Deepwater Technology, Halliburton Introduction A secure world economy depends upon reliable access to reasonably priced energy. Achieving this objective requires a consistent and steady amount of ‘over-supply’ and continual application of innovative technology, both of which present challenges. Global oil consumption in 1970 was 46 million barrels per day. In 2001 it was 76 million per day. According to results published by Cambridge Energy Research Associates in their "Global Oil Trends 2002" report, by 2031 the demand will exceed 120 million per day. From where will these barrels come? While alternate energy sources may hold hope for the future, clearly fossil fuels will be important for many years. Looking more specifically at the U.S. picture, U.S. crude oil production accounted for more than half of the world total as late as 1952. However by 1970 U.S. consumption was 15 million barrels per day and production was 9.6 million, for a 36% shortfall. At that point, the marginal pricing of oil, which for so long rested with the Gulf Coast of Texas, moved to the Persian Gulf. To capitalize on their newly acquired pricing power, many producing nations in the Middle East nationalized their oil companies. Posted crude oil prices at Ras Tanura in the Persian Gulf rose to more than $11 per barrel, significantly above the $1.80 per barrel that prevailed unchanged from 1961 to 1970. Despite this run-up in price, by 2001 U.S. consumption was up to 20 million barrels per day, with production at 5.8 million, for a 71% shortfall. The U.S. is the world's number 3 producer behind Saudi Arabia with a current production of 8 million barrels per day - supplying 10% of the world demand, and number 2 Russia at 6.7 million. During a February 10, 2002 segment of the television program 60 Minutes, Lord Browne of BP, in addressing a question concerning U.S. energy independence, stated that with only 3% of the world's reserves, it is just not possible. The question is does the US really want to rely on Iran, Iraq, and other politically unstable regions to make up the short fall? On November 13, 2001 the Chairman of the Board of Governors of the Federal Reserve System, Alan Greenspan stated " as economic policymakers....., it is essential that we do not lose sight of the policies needed to ensure long-term economic growth. One of the most important objectives of those policies should be an assured availability of energy.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.036
GPT teacher head0.236
Teacher spread0.200 · 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

Citations2
Published2002
Admission routes1
Has abstractyes

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