Events Calendar

Multiscale Data Integration for Reservoir Characterization and Identification of Sweet Spots for Wel

Data for reservoir characterization comes from a variety of sources at different scales and with different qualities. These data carry various types of useful information for reservoir modeling. The statistical methodology of multiscale multivariate Gaussian is presented to integrate data sources of seismic, geology and peterophysics into a single super secondary data for static reservoir descriptions. The theoretical aspects of the method are discussed and analyzed in comparison to the commonly advocated geostatistical method of block cokriging. The usefulness of the method as a means to quantify the value of information of various data sources is also discussed. The applicability of the technique is illustrated in reservoir characterization of a heterogeneous turbidite field in the Gulf of Mexico. A workflow for a comprehensive geostatistical reservoir characterization is then briefly presented, utilizing results of integrated data.One of the main tasks of any reservoir development plan is to decide where to drill wells based on multiple geostatistical reservoir models. The concept of dynamic sweet spots regarding well placement and field development is introduced. Sweet spots refer to connected high-quality reservoir rock volumes with good flow capability. The technique for identification of dynamic sweet spots requires optimized calibration of reservoir flow response with simplified proxy functions. Proxy functions offer measure of drainable rock volumes combined with the fundamentals of flow in porous media. Details of the dynamic sweet spot method are presented and demonstrated on the same heterogeneous turbidite reservoir for well placement and subsequent water and gas injection pilots.Dr. Maghsood Abbaszadeh is the president and technology director of Innovative Petrotech Solutions, Inc. He has twenty fives years of theoretical and field experiences in all aspects of reservoir engineering, advanced reservoir characterization, reservoir simulation, and well testing. He has done extensive research and has worked on many projects throughout the world involving conventional and geostatistical reservoir characterization methods. Dr. Abbaszadeh has taught short courses for over fifteen years on principles of geostatistics, applications of geostatistical technologies for reservoir characterization/modeling, reservoir engineering, and advanced well testing.

Location: Hedco Pertroleum and Chemical Engineering Building (HED) - 116

Audiences: Everyone Is Invited

Contact: Takimoto Idania