Robust CO2 Plume Imaging Using Joint Tomographic Inversion of Distributed Pressure and Temperature Measurements Conference Paper uri icon

abstract

  • Abstract Geologic CO2 sequestration and CO2 enhanced oil recovery (EOR) have received significant attention from the scientific community as a response to climate change from greenhouse gases. Safe and efficient management of a CO2 injection site requires spatio-temporal tracking of the CO2 plume in the reservoir during geologic sequestration. The goal of this paper is to develop robust modeling and monitoring technologies for imaging and visualization of the CO2 plume using routine pressure/temperature measurements. The streamline-based technology has proven to be effective and efficient for reconciling geologic models to various types of reservoir dynamic response. In this paper, we first extend the streamline-based data integration approach to incorporate distributed temperature sensor (DTS) data using the concept of thermal tracer travel time. Then, a hierarchical workflow composed of evolutionary and streamline methods is employed to jointly history match the DTS and pressure data. Finally, CO2 saturation and streamline maps are used to visualize the CO2 plume movement during the sequestration process. The power and utility of our approach are demonstrated using both synthetic and field applications. We first validate the streamline-based DTS data inversion using a synthetic example. Next, the hierarchical workflow is applied to a carbon sequestration project in a carbonate reef reservoir within the Northern Niagaran Pinnacle Reef Trend in Michigan, USA. The monitoring data set consists of distributed temperature sensing (DTS) data acquired at the injection well and a monitoring well, flowing bottom-hole pressure data at the injection well, and time-lapse pressure measurements at several locations along the monitoring well. The history matching results indicate that the CO2 movement is mostly restricted to the intended zones of injection which is consistent with an independent warmback analysis of the temperature data. The novelty of this work is the streamline-based history matching method for the DTS data and its field application to the Department of Engergy regional carbon sequestration project in Michigan.

name of conference

  • SPE Annual Technical Conference and Exhibition

published proceedings

  • Day 2 Wed, September 22, 2021

author list (cited authors)

  • Yao, C., Chen, H., Onishi, T., Datta-Gupta, A., Mawalkar, S., Mishra, S., & Pasumarti, A.

citation count

  • 1

complete list of authors

  • Yao, Changqing||Chen, Hongquan||Onishi, Tsubasa||Datta-Gupta, Akhil||Mawalkar, Sanjay||Mishra, Srikanta||Pasumarti, Ashwin

publication date

  • September 2021

publisher

  • SPE  Publisher