Research data supporting carbon-aware optimisation of oilfield operations under geological uncertainty: Production–emission trade-offs and policy-constrained strategies
地質不確実性下での炭素考慮型油田操業最適化を支援する研究データ：生産と排出のトレードオフと政策制約戦略 (AI 翻訳)
Amirsaman Rezaeyan, Vera Dogo, Mohammad Salehian, B. Steffens, Daniel Arnold, Eugene Dahl, Vasily Demyanov
🤖 gxceed AI 要約
日本語
本研究は、地質不確実性を考慮した油田操業の炭素制約下での最適化手法を提案し、生産量とCO2排出のトレードオフを分析する。216の地質モデル実現を用いたシミュレーションと多目的最適化によりパレート最適解を導出。さらに、強度ベース・累積予算・排出削減の3つの炭素制約戦略を比較し、政策制約下での意思決定を支援するデータセットを提供する。
English
This study presents a carbon-aware optimization framework for oilfield operations under geological uncertainty, analyzing trade-offs between oil production and operational CO2-eq emissions. Using 216 geological model realizations and multi-objective optimization, Pareto-optimal solutions are derived. Three carbon-constrained strategy selection criteria (intensity-based, cumulative budget, declining emissions) are compared, providing data to support decision-making under policy constraints.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本のGX文脈では、SSBJや有報での気候変動リスク開示が進む中、油田操業における排出削減と生産性の両立は重要である。本データは不確実性下での最適化手法を提供し、日本企業の資源開発における脱炭素戦略立案に示唆を与える。
In the global GX context
Globally, this work aligns with ISSB and TCFD frameworks by quantifying emissions and production trade-offs, supporting corporate disclosure of climate risks. The optimization and strategy selection methods can inform transition finance decisions and demonstrate how oil & gas companies can integrate carbon constraints into operational planning.
👥 読者別の含意
🔬研究者:Provides a rigorous framework for incorporating geological uncertainty into multi-objective optimization of production and emissions, useful for energy systems modelers.
🏢実務担当者:Oil & gas operators can use the data and methods to assess carbon-constrained production scenarios and inform operational decisions under evolving regulations.
🏛政策担当者:Demonstrates the impact of different carbon constraint rules (intensity vs. cumulative vs. declining) on production, aiding policy design for sectoral decarbonization.
📄 Abstract（原文）
This repository supports the study entitled "carbon-aware optimisation of oilfield operations under geological uncertainty: Production–emission trade-offs and policy-constrained strategies". The repository contains the datasets and simulation results used to evaluate production performance and operational CO<sub>2</sub>-equivalent (CO<sub>2</sub>-eq) emissions for the modified Watt field model under geological uncertainty. It The deposited materials include the modified Watt field dataset and the associated CO<sub>2</sub>-eq emission model used to generate and assess 216 geological model realisations. The repository also contains the production and emission results obtained from these realisations and the processed model-realisation outputs used for cluster analysis. These data support the identification of representative geological models and the assessment of variability in reservoir behaviour across the full ensemble.In addition, the repository includes the base-case simulation results and the outputs of two multi-objective optimisation strategies: random-realisation-based optimisation and cluster-based optimisation. The optimisation results document the trade-offs between cumulative oil production and operational CO<sub>2</sub>-eq emissions and enable comparison of optimisation performance, robustness, and computational efficiency across the two model-selection approaches.The repository further includes the results of three carbon-constrained strategy-selection criteria applied to the Pareto-optimal solution archive. For each criterion, infeasible Pareto-optimal solutions are removed, and the feasible solution with the highest cumulative oil production is selected. These thresholds are scenario assumptions used to compare intensity-based, cumulative-budget, and declining-emissions decision rules rather than universal regulatory standards.Collectively, the deposited materials support the transparency, reproducibility, and further evaluation of an integrated decision framework combining geological uncertainty characterisation, reservoir simulation, process-level CO<sub>2</sub>-eq emission modelling, representative-model selection, multi-objective production optimisation, Pareto-front analysis, and post-optimisation carbon-constrained strategy selection. The archived production and emissions trajectories also allow alternative regulatory, corporate, or scenario-specific carbon criteria to be evaluated without repeating the full reservoir optimisation.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.6084/m9.figshare.33086891first seen 2026-07-27 05:01:57 · last seen 2026-07-27 05:01:58
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