MétaCan
Menu
Back to cohort
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 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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.018
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 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same topicReservoir Engineering and Simulation MethodsFrench-language works237,207