|DEPARTMENT OF PETROLEUM ENGINEERING||DWIGHT LOOK COLLEGE OF ENGINEERING||TEXAS A&M UNIVERSITY|
Model Calibration and Efficient Reservoir Imaging (MCERI)
|A JOINT INDUSTRY PROJECT|
The MCERI (Model Calibration and Efficient Reservoir Imaging) industrial research consortium at Texas A&M University has been at the forefront of reservoir modeling, history matching, and streamline simulation technologies for well over the last decade. Much of the mathematical foundations behind modern streamline simulation have been developed in the research consortium, which is co-directed by Dr. Akhil Datta-Gupta (email@example.com) and Dr. Michael J. King (firstname.lastname@example.org). Dr. Datta-Gupta and King co-authored the SPE textbook on the subject, ‘Streamline Simulation: Theory and Practice’. The research consortium continues to be one of the most active centers for the development of streamline technology and its applications to reservoir management and optimization, multi-scale data integration and history matching, upscaling/upgridding, and more recently, performance analysis and optimization of unconventional wells.
Reconciling high resolution geologic models to dynamic data such as transient pressure, tracer and multiphase production history or time-lapse seismic data is by far the most time-consuming aspect of the workflow for both geoscientists and engineers. The situation is further complicated by the rapid progress in well-construction technology and the advent of smart wells and permanent down-hole sensors. The amount of data collected is increasingly becoming overwhelming and there is an immediate need to improve our capabilities to utilize the data in a timely and efficient manner. Furthermore, as the use of time-lapse seismic becomes more common in the industry, there is also an increasing demand for quantitative and efficient use of these data for reservoir characterization in addition to reservoir monitoring. A focus of the MCERI research consortium has been the development of novel techniques and efficient workflows for reconciling high resolution geologic models to pressures, rates, fluid production and time lapse seismic response. This includes geologically consistent regionalization and re-parameterization, identification of spatial distribution of reservoir properties, and uncertainty quantification.
Integrated reservoir modeling approach
coarse is coarse and how fine is fine? This is an often asked question
reservoir simulation and modeling. We have developed novel adaptive
algorithms to address this question through the design of simulation
optimally preserve the reservoir heterogeneity and geologic features.
techniques have been extensively applied to simulation layer design for
conventional and unconventional reservoirs.
Visualizing evolution of well drainage volumes in unconventional reservoirs using the Fast Marching Method
A major emphasis of the MCERI research consortium has been field application and validation of the novel technologies in close collaboration with the industrial partners.
Some recent MCERI publications are listed below.