Inverting geophysical data for geological parameters or lithology

Patent metadata

Field	Value
Publication number	US-10379255-B2
Application number	US-201113701431-A
Country	US
Kind code	B2
Filing date	Jun 17, 2011
Priority date	Jul 27, 2010
Publication date	Aug 13, 2019
Grant date	Aug 13, 2019

Abstract

Method for estimating porosity and water saturation or other geological parameters of a subsurface region when the lithology of the region is unknown, requiring only geophysical data from remote surveys. The geophysical data are inverted ( 14 - 18 ) treating lithology as a third, and discrete, unknown model parameter ( 12 ) to be solved for in the inversion. A technique for solving mixed integer non-linear programs may be used. Suitable rock physics relationships ( 13 ) are used to relate the desired geological parameters to the geophysical model parameters required for simulating the geophysical data in the inversion process.

First claim

What is claimed is:

1. A remote, deterministic method for estimating at least lithology of a subsurface region, comprising:
obtaining at least one type of remote geophysical survey data representing the sub surface region;
identifying a plurality of possible lithology classes, each class being associated with a value of the discrete valued model parameter, and each class being defined by one or more deterministic rock physics equations;
developing a model of the subsurface region in terms of at least lithology, porosity, and water saturation, wherein the model subdivides the subsurface region into discrete cells in which the lithology is represented as a value of the discrete valued model parameter;
using a computer to perform an inversion that inverts the at least one type of remote geophysical survey data to obtain at least the lithology, the porosity, and the water saturation of the subsurface region with the one or more deterministic rock physics equations that provide a mapping between the at least one type of remote geophysical survey data and the lithology, the porosity, and the water saturation of the subsurface region,
wherein the inversion finds a best-fitting value of the lithology, the porosity, and the water saturation for each cell in the model by minimizing a misfit between the at least one type of remote geophysical survey data and simulated data generated by the computer from the model of the subsurface region; and
drilling a well into the subsurface region based at least partly on the lithology, the porosity and the water saturation determined from the inversion.

2. The method of claim 1 , wherein
the one or more deterministic rock physics equations corresponding to each identified lithology class relate the porosity and the water saturation to one or more geophysical parameters required to calculate predicted geophysical data corresponding to the at least one type of remote geophysical survey data.

3. The method of claim 2 , further comprising selecting one or more rock physics constraints corresponding to each identified lithology class, and applying the constraints during the inverting the at least one type of remote geophysical survey data to obtain lithology and the porosity and the water saturation.

4. The method of claim 2 , wherein the one or more geophysical parameters required to calculate predicted geophysical data include at least one of a group consisting of elastic coefficients, electrical conductivity, velocity, and density.

5. The method of claim 1 , further comprising associating each possible lithologic class with a particular value of a geophysical parameter that can be used to calculate predicted geophysical data corresponding to the at least one type of remote geophysical survey data; wherein the inversion iteratively compares such predicted geophysical data to the remote geophysical survey data to optimize a determination of values of the discrete valued model parameter at different cells in the model, thereby resulting in obtaining lithology of the subsurface region.

6. The method of claim 5 , further comprising associating each possible lithologic class with a selected one or more rock physics constraints, and using the constraints when inverting the at least one type of remote geophysical survey data to obtain the lithology of the subsurface region.

7. The method of claim 1 , further comprising associating a possible lithologic class with a selected rock physics constraint, and using the constraint when inverting the at least one type of remote geophysical survey data to obtain lithology and the at least one geological parameter of the subsurface region.

8. The method of claim 7 , wherein each possible lithologic class is associated with at least one selected rock physics constraint, and which rock physics constraint or constraints to use at a given cell during the inverting depends on a current value of the discrete valued model parameter at that cell, and the rock physics constraints constrain the inverting for lithology and the at least one geological parameter to a subspace of solutions.

9. The method of claim 8 , wherein the rock physics constraints are implemented in the inverting as additive terms to an objective function to be minimized.

10. The method of claim 1 , wherein the plurality of possible lithology classes includes one or more of a group consisting of clastic, carbonate, salt and basalt.

11. The method of claim 1 , wherein the at least one type of remote geophysical survey data includes one or more of controlled source electromagnetic, magnetotelluric, seismic reflection, seismic refraction, or gravity.

12. The method of claim 1 , wherein said inverting the at least one type of remote geophysical survey data to obtain the lithology, the porosity, and the water saturation of the subsurface region follows a technique for solving mixed integer non-linear programs.

13. The method of claim 1 , further comprising inverting for additional geological parameters including at least one of fracture density, degree of anisotropy, dolomitization amount, or volume of shale or clay.

14. The method of claim 1 , further comprising:
performing at least one type of remote geophysical survey over a subsurface region; and
producing hydrocarbons from the well.

Assignees

• Dicaprio Christopher J
• Saltzer Rebecca L
• Mullur Anoop A
• Exxonmobil Upstream Res Co

Inventors

• Dicaprio Christopher J
• Saltzer Rebecca L
• Mullur Anoop A

Classifications

• G01V2210/62

  Physical property of subsurface · CPC title

• G01V11/00 Primary

  Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00 · CPC title