Methodology for Designing and Executing a Comprehensive CCUS-EOR Pilot – From Laboratory Characterization to Field Implementation

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Provides a structured, data-driven workflow for CCUS pilot design and integration of multi-scale data.

🏢実務担当者:Offers a practical blueprint for planning and executing CCUS-EOR pilots, including monitoring, tracer tests, and history matching.

🏛政策担当者:Highlights the importance of systematic pilot methodology for scaling CCUS and informing regulatory frameworks and carbon accounting standards.

This study outlines a comprehensive methodology for designing, implementing, and scaling carbon capture, utilization, and storage (CCUS) pilot projects for Enhanced Oil Recovery (EOR). The approach begins with fluid characterization. Representative core plugs are subjected to core‑flood experiments under reservoir conditions to generate recovery factors, residual‑trapping efficiencies, and wettability index data that will later serve as inputs for reservoir simulation. Geological screening follows, applying criteria such as minimum storage capacity, injectivity, and geomechanical integrity of both the reservoir and the seal to prioritize candidate locations. Pilot duration is derived from the target recovery and storage fraction and planned injection rate. A pre-CO2 injection baseline is established through water injection and systematic measurements of rates, pressures, fluid composition, tracer signatures in both injection and observation wells. Tracer diagnostics are then deployed in two stages. A single‑well chemical tracer test calibrates expected recovery, while inter‑well tracers maps CO2 migration pathways. Concurrently, continuous monitoring of injection and production streams provides a real‑time mass balance and phase‑distribution record. Production data are analyzed in conjunction with tracer breakthroughs and saturation logs to assess CO2‑enhanced oil recovery and storage efficiency. Saturation monitoring is achieved by drilling observation wells and acquiring baseline and post‑injection saturation logs to evaluate incremental recovery - which vary from 5 to 20% of the original oil in place- and validate trapping models. All laboratory and field data are then history‑matched with numerical reservoir simulators. Sensitivity studies further explore optimal injection schedules, well placement, and recovery schemes to optimize performance. Finally, pilot‑scale performance metrics and reservoir simulation are used to develop full field expansion scenarios. Unlike conventional CCUS-EOR pilot approaches that treat laboratory testing, field diagnostics, and simulation as sequential steps, this novel workflow integrates them within a closed-loop, data-driven calibration framework that continuously updates subsurface understanding and operational decisions. Thus, providing a complete, end‑to‑end blueprint for the design, execution, and scaling of CCUS-EOR pilots which enables organizations to evaluate the technical and economic feasibility of CCUS-EOR projects supporting corporate sustainability strategies and contributing to the achievement of global climate‑change mitigation goals including net-zero emissions pathways.

• semanticscholar https://doi.org/10.2118/233247-msfirst seen 2026-06-27 05:21:08