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Record W2469998258 · doi:10.2118/0715-0064-jpt

OTC Highlights Technical Challenges, Effects of Oil Price Volatility

2015· article· en· W2469998258 on OpenAlexaboutno aff
Joel Parshall

Bibliographic record

VenueJournal of Petroleum Technology · 2015
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleum industryRestructuringAttendanceChief executive officerBusinessEconomicsEconomyEconomic policyFinanceManagementEngineeringEconomic growth

Abstract

fetched live from OpenAlex

2015 OTC Conference Review The effects of oil price volatility on operators and service companies, technological advances, safety and environmental risks, economic and regulatory impacts, and sustainability were highlighted in the sessions and discussions during the annual Offshore Technology Conference (OTC) held 4–7 May in Houston. More than 94,700 attendees from 130 countries gathered to exchange ideas and opinions. It is the sixth largest attendance in the conference’s 47-year history. This year’s conference also had 2,682 companies exhibiting, up from 2,568 in 2014, representing 37 countries. International companies made up 42% of exhibitors. The event featured 11 panel sessions, 29 executive keynote presentations at luncheons and breakfasts, and nearly 300 technical paper presentations. Speakers from major, independent, and national oil companies, federal and regional government officials, and academics presented their views on a variety of topics such as future industry directions, operational integrity, and risk management. North American Energy Outlook The North American energy outlook, simultaneously reflecting surging production and resource abundance and the uncertainty surrounding the steep decline in oil prices, Mexican energy reform, and the future shape of regulation, was the focus of panelists from Canada, Mexico, and the United States in one of the sessions. Gamal Hassan, chief executive officer (CEO) of ADH International, described North America as being “at an inflection point in energy” and said, “The biggest question is how the US [industry] will restructure itself.” Gustavo Hernandez-Garcia, director general of Pemex Exploration and Production, forecast a moderate recovery in oil prices late this year through 2016 but with significant long-term risks. Addressing the changes at Pemex as Mexico undertakes industry reform, Hernandez said the company needs to improve its cash flow, is divesting itself of noncore assets, and is looking to acquire complementary assets “on the cheap” while prices are down. “We are trying to produce more value barrels rather than just volume,” he said. Hernandez outlined three possible outcomes for Mexican energy reform: 1) Achieving full potential and being competitive in the market; 2) Mixed results with part of the company being market competitive and part continuing to rely on state support; and 3) Unrealized potential because of “slow-motion implementation.” He said that Pemex prefers the first scenario. Paula Gant, deputy assistant secretary for oil and natural gas at the US Department of Energy (DOE) Office of Fossil Energy, stressed the importance of the ongoing trilateral cooperation on energy between the US, Canada, and Mexico and pointed to “the robust and resilient infrastructure” of the three countries’ energy systems. The continent’s oil and gas resources are abundant, and the US DOE is focused on the three countries “working together to maximize this regional abundance,” Gant said. To achieve the potential held by the continent’s resource base depends on maintaining public confidence, and the US DOE plays a critical role in this by providing “a solid scientific base” for public policy decisions, Gant said. David Ramsay, government minister of the Northwest Territories (NWT), Canada, spoke on unlocking the energy potential of the territorial area. The NWT hold shale oil resources estimated at 3 billion to 5 billion bbl, and Trans- Canada’s proposed Mackenzie Gas Project would build a 750-mile pipeline to link 80 Tcf of natural gas in place in the NWT with North American markets, he said.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.610
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.015
GPT teacher head0.266
Teacher spread0.251 · 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 designTheoretical or conceptual
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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