Parallel Multiobjective Optimization for the Coupled Compositional /Geomechanical Modeling of Pulse Testing

Baehyun Min, Mary F. Wheeler, Alexander Y. Sun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations


This paper presents numerical simulation results of pulse testing experiments carried out at a test site of a carbon capture and geological storage project in Mississippi, USA. The primary objective of this study is to validate the effectiveness of pulse testing as a monitoring tool for detecting potential CO2 leakage pathways with application to the test site. Detrending followed by Fourier transform is adopted to decompose sinusoidal pressure anomalies induced by a periodic injection of CO2 into frequencies used as target parameters of history matching. The secondary objective is to calibrate the geologic model of the test site by reducing the discrepancy between observed and simulated Fourier parameters and assess uncertainties associated with the compositional brine-CO2 flow. An assisted history matching tool that mounts global- and multi-objective evolutionary algorithms is developed, integrated with an in-house flow-geomechanics simulator, and employed to manage pulse testing simulations with a low computational cost in high-performance parallel computing environments. Grid cells in the test site are locally refined using enhanced-velocity that allows nonmatching grids on interfaces between subdomains. Experiments performed with one pulser well and two monitoring wells under steady-state conditions are considered baselines for subsequent experiments that convert one monitoring well into a production well as an artificial CO2 leakage pathway. The difference between the pressure anomalies obtained from the baseline and leak experiments are captured as a signal of CO2 leakage detection with reliability in the simulation results. A trade-off relationship between the matching qualities at the two monitoring wells is revealed more clearly by invoking multi-objective history matching than conventional global-objective history matching. This comparative study to investigate the significance of multi-objective optimization in subsurface characterization represents that diversity-preservation in the ensemble composed of qualified geologic models has the advantage of reducing bias for uncertainty quantification.

Original languageEnglish
Title of host publicationSociety of Petroleum Engineers - SPE Reservoir Simulation Conference, RSC 2017
PublisherSociety of Petroleum Engineers (SPE)
ISBN (Electronic)9781613994832
StatePublished - 2017
Event2017 SPE Reservoir Simulation Conference, RSC 2017 - Montgomery, United States
Duration: 20 Feb 201722 Feb 2017

Publication series

NameSPE Reservoir Simulation Symposium Proceedings


Conference2017 SPE Reservoir Simulation Conference, RSC 2017
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
Copyright 2017, Society of Petroleum Engineers.


  • assisted history matching
  • carbon capture and geological storage
  • flow-geomechanics simulator
  • multi-objective optimization
  • pulse testing


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