Method and system for determining a distribution of rock types in geological cells around a wellbore
A method includes acquiring measurement data from a plurality of measurements corresponding to different depths within a wellbore. Using a processor, a distribution of rock types in each cell of a plurality of geological cells around the wellbore is determined from the measurement data. Petrophysical characteristics of each cell of the plurality of geological cells are calculated from the distribution of rock types.
1. A method comprising:
acquiring measurement data from a plurality of measurements corresponding to different depths within a wellbore;
using a processor,
determining from the measurement data, a distribution of rock types in each cell of a plurality of geological cells around the wellbore;
calculating petrophysical characteristics of each cell of the plurality of geological cells from the distribution of rock types;
upscaling the determined distribution of rock types in the plurality of geological cells; and
mapping the upscaled distribution to a reservoir model.
2. The method according to claim 1 , wherein the plurality of measurements comprise log measurements at the different depths within the wellbore collected by sensors lowered into the wellbore.
3. The method according to claim 1 , wherein the plurality of measurements comprise measurements made by sensors of a plurality of geological samples removed from the wellbore corresponding to different depths in the wellbore.
4. The method according to claim 1 , wherein determining the distribution of rock types in each cell of the plurality of geological cells comprises:
assigning coefficients to each rock type within each of the plurality of geological cells;
computing an error function including a difference between a petrophysical metric as derived from the measurement data and the petrophysical metric as computed from the coefficients; and
minimizing the error function by varying the coefficients.
5. The method according to claim 1 , wherein calculating the petrophysical characteristics comprises using the distribution in each of the plurality of geological cells to compute petrophysical parameters selected from the group consisting of: porosity, permeability, fluid saturation, net pay, and net reservoir.
6. The method according to claim 1 , further comprising computing an angle for drilling a well by using the reservoir model with the upscaled distribution of rock types.
7. The method according to claim 1 , further comprising outputting a reservoir summary of an oil reservoir by using the reservoir model with the upscaled distribution of rock types.
8. A system comprising:
a memory; and
a processor configured to receive measurement data from a plurality of measurements corresponding to different depths within a wellbore, to determine from the measurement data, a distribution of rock types in each cell of a plurality of geological cells around the wellbore, to calculate petrophysical characteristics of each cell of the plurality of geological cells from the distribution of rock types, to upscale the determined distribution of rock types in the plurality of geological cells, and to map the upscaled distribution to a reservoir model.
9. The system according to claim 8 , wherein the plurality of measurements comprise log measurements at the different depths within the wellbore collected by sensors lowered into the wellbore.
10. The system according to claim 8 , wherein the plurality of measurements comprise measurements made by sensors of a plurality of geological samples removed from the wellbore corresponding to different depths in the wellbore.
11. The system according to claim 8 , wherein the processor is configured to determine the distribution of rock types in each cell of the plurality of geological cells by assigning coefficients to each rock type within each of the plurality of geological cells, computing an error function including a difference between a petrophysical metric as derived from the measurement data and the petrophysical metric as computed from the coefficients, and minimizing the error function by varying the coefficients.
12. The system according to claim 8 , wherein the processor is configured to calculate the petrophysical characteristics by using the distribution in each of the plurality of geological cells to compute petrophysical parameters selected from the group consisting of porosity, permeability, fluid saturation, net pay and net reservoir.
13. The system according to claim 8 , wherein the processor is configured to compute an angle for drilling a well by using the reservoir model with the upscaled distribution of rock types.
14. The system according to claim 8 , wherein the processor is configured to output a reservoir summary of an oil reservoir by using the reservoir model with the upscaled distribution of rock types.