POSTPONED West Tech Breakfast: Estimation of reservoir properties by regression analysis of relative … Jan 17th

May 11th - West Side Tech Breakfast
Complete Title: Estimation of reservoir properties by regression analysis of relative rock properties… relax the need of a rigorous low frequency model (LFM)

Meeting Location:

Schlumberger Facility
10001 Richmond Ave.
Houston, TX  77042

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Speaker: Alvaro Chaveste, TraceSeis, Inc.

It has been customary to compute rock properties (P-Impedance, S-impedance and others) through seismic inversion and then estimate, from these, the reservoir properties that determine reservoir performance (porosity, mineralogy and fluids).

The inversion process is complex and can be lengthy. Inverting for absolute rock properties requires the generation of low frequency models (LFM) generally dependent upon the amount and quality of available well-log data and seismic velocities. 

Many approaches exist to compute reservoir properties from seismic attributes estimated by inversion. Some are statistical and based on clustering (in cross-plots or multi-variate space) seismic attributes associated to the reservoir property of interest. Deterministic approaches compute reservoir properties (i.e. porosity) from rock properties (i.e. velocity) through effective media or empirical relationships.

The previous methodology is analyst intensive and prone to error as it requires the estimation and quality control of rock properties and then the reservoir properties.

An alternate methodology is presented. In the example shown, porosity and lithology are estimated from the seismic data through linear combinations of relative properties. The model parameters are obtained from regression analysis of the equivalent attributes computed from well-logs.

The methodology relaxes the need of a rigorous LFM and bypasses the estimation of absolute rock properties. It computes the reservoir property of interest through regression analysis of relative rock properties. Under this scheme, an LFM is required only when the reservoir property to be estimated has a low frequency component. If needed, the LFM does not have to be that of the inverted rock property and is input at the regression analysis stage, after the relative properties have been computed.
Speaker Biography: Alvaro Chaveste, TraceSeis, Inc.
Alvaro Chaveste holds a BSc in Geophysics from Montana Tech and has done graduate studies at the University of Houston. In 1983, upon graduation from Montana Tech, he joined GSI in Mexico where he acted as field geophysicist, data processor and administered a pioneering seismic interpretation system (SIDIS). In 1989, when GSI and Geosource merged, he was transferred to Houston where he has worked for: Halliburton, Western-Geco, Core Laboratories, Paradigm Geophysical, Geokinetics and Hess Corporation in managerial positions or as a contributor. His interests include: rock physics, seismic data processing, AVO/AVA and inversion. Currently he is the President at TraceSeis where he provides services and develops rock physics and inversion software.

Breakfast will be available starting at 7:00 AM
Technical Talk will start at 7:30
Event will end by 8:30


1/17/2018 7:00 AM - 8:30 AM

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