REINVENTING OIL AND GAS OPERATIONS THROUGH CIRCULAR ENGINEERING: A ZERO-DISCHARGE HORIZONS FRAMEWORK INTEGRATING AI, CARBON CAPTURE, AND WASTE-TO-VALUE INNOVATION

The global energy sector is undergoing a paradigm shift to meet net-zero commitments, with circular engineering emerging as a vital framework for the oil and gas industry. This paper presents a "Zero-Discharge Horizons Framework" that integrates Artificial Intelligence (AI), carbon capture and storage (CCS), and waste-to-value (WTV) strategies to close material and energy loops within upstream and downstream operations. By embedding predictive analytics, emissions monitoring, and closed-loop material recovery into operations, oil and gas facilities can transition toward zero-discharge models. The framework is grounded in techno-economic feasibility and draws from proven innovations in circular economy systems, thereby offering a roadmap to align hydrocarbon industries with sustainability and decarbonization targets.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-07
DOI
https://doi.org/10.5281/zenodo.15612824
Primary Topic
Global Energy and Sustainability Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

REINVENTING OIL AND GAS OPERATIONS THROUGH CIRCULAR ENGINEERING: A ZERO-DISCHARGE HORIZONS FRAMEWORK INTEGRATING AI, CARBON CAPTURE, AND WASTE-TO-VALUE INNOVATION

Zenodo (CERN European Organization for Nuclear Research)
Global Energy and Sustainability Research
article

REINVENTING OIL AND GAS OPERATIONS THROUGH CIRCULAR ENGINEERING: A ZERO-DISCHARGE HORIZONS FRAMEWORK INTEGRATING AI, CARBON CAPTURE, AND WASTE-TO-VALUE INNOVATION

article en

Abstract

The global energy sector is undergoing a paradigm shift to meet net-zero commitments, with circular engineering emerging as a vital framework for the oil and gas industry. This paper presents a "Zero-Discharge Horizons Framework" that integrates Artificial Intelligence (AI), carbon capture and storage (CCS), and waste-to-value (WTV) strategies to close material and energy loops within upstream and downstream operations. By embedding predictive analytics, emissions monitoring, and closed-loop material recovery into operations, oil and gas facilities can transition toward zero-discharge models. The framework is grounded in techno-economic feasibility and draws from proven innovations in circular economy systems, thereby offering a roadmap to align hydrocarbon industries with sustainability and decarbonization targets.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 65%
Global Energy and Sustainability Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.