Method for updating a geological model using dynamic data and well tests
Method for optimizing the development of an underground reservoir, wherein a geological model is updated using dynamic data and well tests. A reservoir model is constructed by performing a geological model scale change. Dynamic data are simulated from this reservoir model. Influence zones are identified within the geological model where the well tests induce a pressure variation during well testing. Well tests are then simulated for each influence zone. An objective function measuring the difference between the simulated data and the measured data is calculated. The geological model is then modified so as to reduce to the maximum the objective function using a geostatistical parametrizing technique. Finally, development of the underground reservoir is optimized by evaluating, by means of a flow simulator, the reservoir production for various production schemes. Application: notably oil reservoir development.
1. A method for optimizing the development of an underground reservoir from a geological model representative of the reservoir, from dynamic data obtained from measurements within said reservoir and from data resulting from well tests carried out in wells traversing said reservoir, characterized in that the method comprises the following stages:
A) modifying said geological model so as to meet the measured dynamic data and the data resulting from well tests, by carrying out the following stages:
constructing a reservoir model by performing a scale change for said geological model,
simulating dynamic data from said reservoir model by means of a flow simulator,
identifying zones for said geological model where the well tests induce a pressure variation,
simulating well tests for each zone by means of a flow simulator,
calculating an objective function comprising a term measuring a difference between the measured dynamic data and the simulated dynamic data, a term measuring a difference between the data obtained from said well tests and data obtained from well test simulations,
modifying said geological model so as to reduce the objective function, using a geostatistical parametrizing technique, then repeating the previous stages until a minimum value is obtained for the objective function, and
B) optimizing the development of the underground reservoir by evaluating, by means of a flow simulator, the production of said reservoir for various production schemes applied to said geological model.
2. A method as claimed in claim 1 , wherein well tests are simulated for each zone by applying boundary conditions to said zones defined as a function of said reservoir model.
3. A method as claimed in claim 2 , wherein the boundary conditions are calculated upon simulation of the dynamic data.
4. A method as claimed in claim 2 , wherein the boundary conditions are modelled from a sentinel method.
5. A method as claimed in claim 1 , wherein the data resulting from well tests are pressures and pressure derivatives.
6. A method as claimed in claim 1 , wherein the objective function comprises a term relative to data resulting from a 4D seismic survey.
7. A method as claimed in claim 1 , wherein the geostatistical parametrizing technique is a pilot point method.
8. A method as claimed in claim 1 , wherein the geostatistical parametrizing technique is a probability perturbation method.
9. A method as claimed in claim 1 , wherein the geostatistical parametrizing technique is a gradual deformation method.
10. A method as claimed in claim 1 , wherein identifying the zones for said geological model where the well tests induce a pressure variation comprises evaluating a radius of investigation within the reservoir measured from each well subjected to well testing.
11. A method as claimed in claim 10 , wherein analyzing the well tests to identify the zones where the well tests induce a pressure variation comprises evaluating a radius of investigation within the reservoir measured from each well subjected to well testing.
12. A method for optimizing development of an underground reservoir from a geological model representative of the reservoir comprising the following stages:
A) generating a fine grid pattern geological model conforming to static data from measurements of the reservoir;
B) modifying the geological model so as to meet dynamic data obtained from measurements within the reservoir and data resulting from well tests carried out in wells traversing the reservoir, by carrying out the following stages:
constructing a reservoir model by performing a scale change for the geological model,
simulating dynamic data from said reservoir model by means of a flow simulator,
analyzing the well tests to identify zones where the well tests induce a pressure variation, and associating the zones with the fine grid pattern geological model,
simulating well tests for each zone by means of a flow simulator,
calculating an objective function comprising a term measuring a difference between the measured dynamic data and the simulated dynamic data, a term measuring a difference between the data obtained from said well tests and data obtained from well test simulations,
modifying said geological model so as to reduce the objective function, using a geostatistical parametrizing technique, then repeating the previous stages until a minimum value is obtained for the objective function; and
C) optimizing the development of the underground reservoir by evaluating, by means of a flow simulator, the production of said reservoir for various production schemes applied to said geological model.
13. A method as claimed in claim 12 , wherein well tests are simulated for each zone by applying boundary conditions to said zones defined as a function of said reservoir model.
14. A method as claimed in claim 13 , wherein the boundary conditions are calculated upon simulation of the dynamic data.
15. A method as claimed in claim 13 , wherein the boundary conditions are modelled from a sentinel method.
16. A method as claimed in claim 12 , wherein the data resulting from well tests are pressures and pressure derivatives.
17. A method as claimed in claim 12 , wherein the objective function comprises a term relative to data resulting from a 4D seismic survey.
18. A method as claimed in claim 12 , wherein the geostatistical parametrizing technique is a pilot point method.
19. A method as claimed in claim 12 , wherein the geostatistical parametrizing technique is a probability perturbation method.
20. A method as claimed in claim 12 , wherein the geostatistical parametrizing technique is a gradual deformation method.