University of Southern California Reservoir Monitoring Consortium The USC Andrew and Erna Viterbi School of Engineering USC
Six projects shortlisted for Base Funding

October 14, 2011 — Base Membership Project Portfolio

1.      PPP10BJ- Optimization of Hydraulic Fracturing in Unconventional Reservoirs: Numerical optimization algorithms will be developed that can be combined with flow simulation to improve the design and implementation of hydraulic fracturing to increase the productivity and net present value of unconventional assets. acterization and dynamic history matching.

2.      PPP7FA- Integration of Microseimic Data for Fracture Characterization: Low permeability unconventional resources are typically produced through injection-induced stimulation (hydraulic fracturing). In this project, we plan to develop novel methodologies for integration of microseismic data into reservoir and fracture models for improved characterization and long-term production from unconventional reservoirs.

3.      PPP5CS- Using Microseismicity to Map Reservoir Structure: The locations and magnitudes of small events will be used to determine the structure of the fracture network from which geothermal fluids are being produced. The observed structure and magnitude distribution also indicates whether the microsesmicity is triggered or induced. This project will be combined with the previous project PPP8MS: Development of Dynamic Models of Fractured Reservoirs based on Unstructured Grid and Discrete Fractures, and Their Up-scaling: attempting to develop flexible, accurate, and efficient models of fractured reservoirs in order to set aside double-porosity and similar models, incorporate recent advances in multi resolution computations in the model, and take into account the evolving nature of the models of fractured reservoirs that is based on 4D seismic char

4.      PPP12SW- Understanding impact of reservoir fluid on seismic response using physical modeling- Here, we conduct physical modeling experiments with the aim of predicting the impact of the reservoir fluid changes on the seismic response. Such physical modeling examines the effectiveness of time lapse seismic data in monitoring changes in reservoir fluid distribution in
different geologic settings.

5.      PPP15DH- Time Lapse Petrophysical Reservoir Monitoring and Evaluation of Reservoir Characterization Sensitivity- Using MWD, LWD and SWD, we would evaluate the sensitivity of various existing and potential reservoir petrophysical monitoring and characterization protocols to meet the reservoir monitoring needs of existing and future conventional and
unconventional reservoirs.

6.      PPP16AO- Reservoir Modeling using Tomography based on Field Operation Data- We propose to use novel injection (water, steam, etc) schedules and to monitor gross fluid production in order to actively measure the response time between well-pairs without altering the average daily operations. With the well-pair response time, we develop object-based algorithms to identify the heterogeneous structures. These object-based algorithms are designed specifically to provide robust performance when high
contrast structures have to be detected (e.g., high permeability channels).