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Development of quantitative metrics of plume migration at geologic CO 2 storage sites
Author(s) -
Harp Dylan,
Onishi Tsubasa,
Chu Shaoping,
Chen Bailian,
Pawar Rajesh
Publication year - 2019
Publication title -
greenhouse gases: science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 32
ISSN - 2152-3878
DOI - 10.1002/ghg.1903
Subject(s) - plume , petrophysics , saturation (graph theory) , scalar (mathematics) , homogeneous , geology , context (archaeology) , petroleum engineering , soil science , environmental science , hydrology (agriculture) , porosity , geotechnical engineering , statistical physics , mathematics , meteorology , geometry , physics , paleontology , combinatorics
We develop plume migration metrics based on spatial moment analysis methods that quantify the spatio‐temporal evolution of plumes at geologic CO 2 storage sites. The metrics are generalized to handle any 3‐D scalar attribute field values. Within the geologic CO 2 storage context, these can be parameters such as CO 2 saturation, effective pressure, overpressure, dissolved CO 2 concentration, total dissolved solids, pH, and other attributes that are critical for assessing risks. The metrics are comprehensive in that they can effectively handle and account for complex continuous and discontinuous plumes and intra‐plume migration. We demonstrate the metrics on simulated CO 2 plumes injected into flat and tilted reservoirs with homogeneous and heterogeneous permeability fields. Using these idealized reservoir scenarios, we demonstrate the information that the metrics extract, showing that the metrics elucidate nuances in plume migration not apparent by standard approaches to the scalar fields values. Published 2019. This article is a U.S. Government work and is in the public domain in the USA.