History matching of time-lapse crosswell data using ensemble kalman filtering
US-2015247940-A1 · Sep 3, 2015 · US
US10386512B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10386512-B2 |
| Application number | US-201715667709-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 3, 2017 |
| Priority date | Aug 5, 2016 |
| Publication date | Aug 20, 2019 |
| Grant date | Aug 20, 2019 |
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A method is described for creating a petro-elastic model including receiving, at a computer processor, well log data; computing in situ rock properties; calculating dry frame moduli for a range of porosities based on a rock physics model such as a modified critical porosity model; performing fluid substitutions and computing elastic properties by statistical sampling for the range of porosities; creating a petro-elastic model in a seismic domain; and identifying and producing target hydrocarbon reservoirs based on the petro-elastic model. The method may be executed by a computer system.
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What is claimed is: 1. A computer-implemented method of petro-elastic modeling, comprising: a. receiving, at a computer processor, well log data; b. computing in situ rock properties; c. calculating dry frame moduli for a range of porosities; d. performing fluid substitutions and computing elastic properties for the range of porosities to create synthetic data points for the range of porosities; e. creating a petro-elastic model in a seismic domain based on the synthetic data points; and f. identifying and producing target hydrocarbon reservoirs based on the petro-elastic model. 2. The method of claim 1 wherein the creating the petro-elastic model calculates seismic attributes based on the synthetic data points. 3. The method of claim 1 wherein the synthetic data points for the range of porosities are calibrated to the in situ rock properties. 4. The method of claim 1 wherein the creating the petro-elastic model includes data driven statistical sampling of Vp, Vs, and density values for fluid substituted data points binned by combination of the in situ rock properties and the computed elastic properties for the range of porosities over small porosity intervals to generate statistical and data driven porosity sweep models for different fluid cases. 5. The method of claim 1 wherein the calculating dry frame moduli uses a modified critical porosity model. 6. A computer system, comprising: one or more processors; memory; and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions that when executed by the one or more processors cause the device to: a. receive, at a computer processor, well log data; b. compute in situ rock properties; c. calculate dry frame moduli for a range of porosities; d. perform fluid substitutions and compute elastic properties for the range of porosities to create synthetic data points for the range of porosities; e. create a petro-elastic model in a seismic domain based on the synthetic data points; and f. identify and produce target hydrocarbon reservoirs based on the petro-elastic model. 7. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device with one or more processors and memory, cause the device to a. receive, at a computer processor, well log data; b. compute in situ rock properties; c. calculate dry frame moduli for a range of porosities; d. perform fluid substitutions and compute elastic properties for the range of porosities to create synthetic data points for the range of porosities; e. create a petro-elastic model in a seismic domain based on the synthetic data points; and f. identify and produce target hydrocarbon reservoirs based on the petro-elastic model.
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