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Record W1984077012 · doi:10.2118/165002-ms

An IPIECA Oil and Gas Framework for Water Stewardship

2013· article· en· W1984077012 on OpenAlexaff
Alistair Wyness, Karl Fennessey, P. Buttini, Kirsten Thorne, Ruth Romer, Philip Ruck

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsConocoPhillips (Canada)
Fundersnot available
KeywordsStewardship (theology)SustainabilityBusinessPetroleum industryDownstream (manufacturing)Upstream (networking)Fossil fuelResource (disambiguation)Water resourcesEnvironmental resource managementSustainable developmentEnvironmental planningEnvironmental scienceEnvironmental economicsEngineeringComputer scienceEnvironmental engineeringWaste managementMarketingEconomics

Abstract

fetched live from OpenAlex

Abstract Water is an essential element in the upstream and downstream operations of oil and gas companies. Yet water, particularly fresh water, is already a scarce resource in many parts of world and further constraints are predicted. Continuing the development and implementation of water stewardship practices across the oil and gas lifecycle is therefore considered an important component in a company’s sustainability strategy. IPIECA, the global oil and gas industry association for environmental and social issues, has recently made significant strides in this arena to raise stakeholders and the industry’s awareness of water management issues. IPIECA has developed a water management framework which adopts the principles of water stewardship. Uptake and adoption of the framework should lead to recognition by internal and external stakeholders that the oil and gas inudsty is proactively and collectively managing the issues related to sustainable water use and acting as stewards of this valuable resource. The IPIECA water management framework outlines a series of industry guidelines, tools and initiatives providing a comprehensive approach through the full lifecycle of oil and gas development and production. The framework builds upon the systematic approach which is adopted by IPIECA to manage water risk – ‘global->local->guidance’ (SPE 157544). This approach includes the use of the IPIECA Global Water Tool for Oil and Gas and the Global Environmental Management Initiative (GEMI) Local Water Tool for Oil and Gas to help business better understand both the global and local level water risk from which specific guidance is then developed. The World Water Forum Target 2.3.6 which was identified at the 6th World Water Forum in Marseilles in 2012, to "drive responsible water management in oil & gas exploration and production" is aligned with the IPIECA Water Management Framework. Work on this target is being led by IPIECA with support from the International Association of Oil and Gas Producers (OGP). The development of the IPIECA framework should support and improve the sector’s water management practices and approaches.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.026
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.051
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.011
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0070.006
Science and technology studies0.0060.015
Scholarly communication0.0160.011
Open science0.0050.012
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.0100.003

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 head0.018
GPT teacher head0.276
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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