Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
DISTANCE-TO-TRAP WEIGHTING FUNCTIONS FOR SELECTION AND RANKING OF CO2 STORAGE SITES
Submission Author:
Gustavo Charles Peixoto de Oliveira , PB , Brazil
Co-Authors:
José Wilker de Lima Silva, Moisés Dantas dos Santos
Presenter: Gustavo Charles Peixoto de Oliveira
doi://10.26678/ABCM.COBEM2023.COB2023-2381
Abstract
Several countries are boldly committed to reaching a carbon neutrality scenario by 2050. Geologic carbon storage (GCS) is a bridging technology under the broader carbon capture, utilization, and storage (CCUS) scope that now spearheads the Net Zero race. The goal of the CCUS chain is to capture the carbon dioxide (CO2) dispersed into the atmosphere, recycle it for further usage, or transport it to suitable locations through a pipeline network, and finally inject it into deep geological formations for permanent storage. Regardless of numerous GCS projects that have succeeded around the globe mainly fostered by the oil and gas industry, the reality of full-scale GCS projects still is very young in Brazil. So far, there is only one CCUS operational project in the country, currently located in Santos Basin and totally devoted to enhanced oil recovery. The database of storage, injectivity, and containment mechanisms of CO2 in potential storage sites, like saline aquifers and depleted reservoirs, is also limited. This paper intends to present a few mathematical models for qualifying potential underground CO2 storage sites. We studied a group of functionals endowed with distinct weighting functions with two main objectives. First, to explain the nonlinear relationship of rock and fluid properties through rock quality estimates. Second, to grade field regions taking into account multiple structural traps featured by caprocks. The method works as a suggestive resource for convenient injection and storage loci. We implemented the models computationally through the Matlab Reservoir Simulation Toolbox (MRST) software and organized a case study over the UNISIM-I-D model, a representation of the Namorado Field (Campos Basin, Brazil). Preliminary results show that, decaying exponential, logistic or hybrid functions can lead to different storage sites, locations for injection wells, and storage surpluses. In contrast to the injection performance of in-field legacy wells, our approach reaches modest gains. The ultimate purpose of this study is to provide a knowledge base for future GCS projects in Brazil.
Keywords
Carbon Neutrality, geologic carbon storage, Computational Methods, Reservoir Characterization
