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Quality Analysis of Baseline Time-Lapse CSEM Data CarbonSAFE Project, North Dakota

Conference ·
DOI:https://doi.org/10.2172/3000989· OSTI ID:3000989
 [1];  [1];  [2];  [2];  [2];  [2];  [1];  [1];  [1];  [3]
  1. Univ. of North Dakota, Grand Forks, ND (United States). Energy & Environmental Research Center
  2. KMS Technologies
  3. Minnkota Power Cooperative, Inc.
+ Show Author Affiliations
Conference presentation at International Meeting for Applied Geoscience & Energy (IMAGE), Houston, TX, August 28 – September 2, 2022. When a series of time-lapse CSEM surveys are designed to measure the often-small variations in signal seen in CCUS projects, the primary concern must be collecting the highest-quality data and reducing as much noise as possible. This includes optimization during planning and feasibility, careful and consistent quality checks in the field, and transparent and repeatable postprocessing steps. We apply this practice to a baseline (prior to CO2 injection) CSEM data set collected for a time-lapse survey in Center, North Dakota, as a part of the North Dakota CarbonSAFE project, and describe the rigorous quality control and assessment methods used, including noise removal and data validation with 1D and 3D inversion to tie results to borehole logs. The final result is an accurate and representative CSEM data set and information that stakeholders can use to inform future time-lapse survey costs and designs.
Research Organization:
Univ. of North Dakota, Grand Forks, ND (United States). Energy & Environmental Research Center
Sponsoring Organization:
USDOE Office of Fossil Energy and Carbon Management (FECM)
DOE Contract Number:
FE0031889
OSTI ID:
3000989
Country of Publication:
United States
Language:
English

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