Pressure-Based Inversion and Data Assimilation System (PIDAS) for CO2 Leakage Detection (Final Report)
This project aims to develop a Pressure-based Inversion and Data Assimilation System (PIDAS) for detecting CO2 leakage from storage formations. Carbon capture, utilization, and sequestration (CCUS) has the potential to enable deep reductions in global carbon emissions if high storage efficiency can be achieved. A major hurdle to industrial-scale implementation of geological carbon sequestration (GCS) projects is the potential migration of fluids (either brine or injected CO2) from the storage formations and the resulting legal and financial liabilities. The capability to accurately identify leakage pathways by which stored CO2 could leak, has leaked, or is leaking from the targeted storage zone is thus of paramount importance to site licensees and regulators. Although many MVA techniques have been devised, pressure-based monitoring technology remains the most sensitive and reliable technique for early detection. Pressure-based monitoring has consistently received the highest score in terms of benefit/cost ratio and it provides the greatest potential for leakage detection with broad areal coverage. Under this project we have (a) demonstrated the utility of the proposed well testing technique for leakage detection through integrated theoretical and numerical analysis, laboratory experiments, and field tests; (b) developed effective data analysis and inversion algorithms for identifying leakage pathways by fusing data generated during well testing; (c) provided a designing tool for maximizing the utility of the developed PIDAS tool for early leakage detection.
- Research Organization:
- Univ. of Texas, Austin, TX (United States)
- Sponsoring Organization:
- USDOE Office of Fossil Energy (FE)
- Contributing Organization:
- Lawrence Berkeley National Lab (LBNL)
- DOE Contract Number:
- FE0012231
- OSTI ID:
- 1494374
- Report Number(s):
- DOE-UTAUSTIN-FE0012231
- Country of Publication:
- United States
- Language:
- English
Similar Records
Gulf of Mexico miocene CO₂ site characterization mega transect
A harmonic pulse testing method for leakage detection in deep subsurface storage formations