MODELING GRAVITY AND TENSOR GRAVITY DATA USING POISSON'S EQUATION FOR AIRBORNE, SURFACE AND BOREHOLE APPLICATIONS

Patent №

US 6,993,433

Granted

2006-01-31

Filed 2003

Owner

CONOCOPHILLIPS COMPANY

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10681646

The present invention is a method for determining a parameter of interest of a region of interest of the earth. At least one component of potential fields data is measured at a plurality of locations over a region of interest including a subterranean formation of interest. The potential fields data are selected from magnetic data and gravity data. An initial geophysical model is determined for the region including the subterranean formation of interest. For the model, geophysical tensor data is updated using a forward model at a plurality of locations using a High Order Compact Finite Difference method. A difference between the estimated model value and the measured value of the potential field measurements are determined, and the geophysical model is updated. The model is iteratively updated and compared to the measured data until the differences reach an acceptable level and the parameter of interest has been determined.

PlanningG01V 1/28G01V 1/30G01V 7/00G01V 11/00G01V 2210/66

AI classification

Planning0.78
AI hardware0.16
Vision0.01
Machine learning0.01
Knowledge representation0.00
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

CONOCOPHILLIPS COMPANY

assignment · 153360733

Assignors

CHAVARRIA, JUAN ANDRES, ROUTH, PARTHA SARATHI, KISABETH, JERRY LEE, JORGENSEN, GREGORY JOSEPH

On an employer assignment, the assignors are typically the inventors.

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