Date(s) - 09/14/2017
11:30 am - 1:30 pm
Rock Bottom Brewery
Categories No Categories
Mapping and calibration of natural fractures properties from 3D poststack seismic data
with Guest Speaker Reinaldo Michelena
Director, Geophysical Technologies
September 14, 2017
Natural fractures properties such as orientation, intensity, and anisotropy are routinely extracted from seismic data to help in the characterization of conventional and unconventional fractured reservoirs. These seismic derived properties, however, must be carefully checked and calibrated by using independent fracture information to increase the confidence in the interpretation of the attributes before they are used to support further characterization and development decisions. I present in this talk a workflow to extract, map, calibrate, and model natural fractures from 3D poststack seismic data that are used to constrain discrete fracture modeling and flow simulation models. The workflow starts by extracting local orientations from 3D seismic curvature. These orientations are then analyzed statistically to extract properties such as mode (dominant orientation), circular variance (or Fisher coefficient), and families of orientations in each cell of the seismic cube. Seismic derived orientation statistics is compared against orientations from outcrops and microseismic data to assess their validity and consistency across different scales. In the example presented in this talk, fracture orientations and families of fractures remain invariant across seven orders of magnitude, from outcrop scale to large seismic data scale. Once the correlation between seismic orientations and actual natural fractures is established, I use this information to constrain discrete fracture models of small faults and joints for different families of orientations. To finalize, I show one example of how this information is later used to constrain the generation of the pressure field in a naturally fractured reservoir by doing dual porosity flow simulation.
Reinaldo Michelena received a B.S. in physics (1984) from Universidad Simón Bolívar (Venezuela) and a Ph.D. in geophysics (1993) from Stanford University. He has over 30 years of experience in research, development, and application of seismic methods to help reservoir delineation and characterization, from programming and testing of algorithms to integrated interpretation of field data results. He worked 18 years for PDVSA-Intevep, the research and technical services affiliate of PDVSA. He joined iReservoir in 2003 and since then he has worked in a variety of problems and geological settings where seismic data analysis results are used to geological models for matrix and natural fractures and flow simulation models.
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