Abstract
Geologic carbon storage (GCS) is a pivotal technology within the broader framework of carbon capture, utilization, and storage (CCUS), which now takes the lead in the energy transition race [1]. The overarching objective of the CCUS initiative is to capture carbon dioxide (CO2) emissions, either recycling them for further use or transporting them via an extensive pipeline network to suitable underground geological formations for permanent storage [2]. Despite the global success of several GCS projects, often driven by the oil and gas sector, full-scale GCS initiatives are relatively nascent in Brazil [3]. Databases of potential storage sites, including saline aquifers and depleted reservoirs, are still under development. This paper aims to introduce mathematical models for the systematic selection and ranking of underground (CO2) storage sites. Our research explores a family of mathematical functionals, each equipped with distinct weighting functions, serving two primary objectives. Firstly, it elucidates the non- linear interactions between rock and fluid properties through quality indicators. Secondly, it assesses geographical regions, considering various structural traps inherent to caprocks. This methodology serves as a valuable resource for identifying suitable injection and storage locations. The models were computationally implemented using the Matlab Reservoir Simulation Toolbox (MRST) software [4], and a case study was conducted using the UNISIM-I-D model, which represents the Namorado Field in the Campos Basin, Brazil [5]. Our findings reveal that the use of certain curves can lead to distinct interpretations of ideal storage sites.
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@workshop{silva2024,
title = {Generalized Qualifying Functionals for Geologic Carbon Storage Injection Sites},
author = {J. W. L. Silva and M. D. Santos and G. C. P. Oliveira},
year = {2024},
date = {2024-03-26},
abstract = {Geologic carbon storage (GCS) is a pivotal technology within the broader framework of carbon capture, utilization, and storage (CCUS), which now takes the lead in the energy transition race [1]. The overarching objective of the CCUS initiative is to capture carbon dioxide (CO2) emissions, either recycling them for further use or transporting them via an extensive pipeline network to suitable underground geological formations for permanent storage [2]. Despite the global success of several GCS projects, often driven by the oil and gas sector, full-scale GCS initiatives are relatively nascent in Brazil [3]. Databases of potential storage sites, including saline aquifers and depleted reservoirs, are still under development. This paper aims to introduce mathematical models for the systematic selection and ranking of underground (CO2) storage sites. Our research explores a family of mathematical functionals, each equipped with distinct weighting functions, serving two primary objectives. Firstly, it elucidates the non- linear interactions between rock and fluid properties through quality indicators. Secondly, it assesses geographical regions, considering various structural traps inherent to caprocks. This methodology serves as a valuable resource for identifying suitable injection and storage locations. The models were computationally implemented using the Matlab Reservoir Simulation Toolbox (MRST) software [4], and a case study was conducted using the UNISIM-I-D model, which represents the Namorado Field in the Campos Basin, Brazil [5]. Our findings reveal that the use of certain curves can lead to distinct interpretations of ideal storage sites.},
keywords = {},
pubstate = {published},
tppubtype = {workshop}
}