Patent ID: 8612195
Filing Date: 2013-12-17
Classification: G01V

Abstract:
1. A computer implemented method for correlating predicted data describing a subsurface region with known data describing the subsurface region, the method comprising: obtaining data describing an initial state of the subsurface region; predicting data describing a subsequent state of the subsurface region; updating a likelihood measure that determines whether the predicted data is within an acceptable range of the obtained data, the updating being performed at least one of dynamically and interactively; using a computer to compare the predicted data with the obtained data using the likelihood measure; using a computer to determine a sensitivity of the predicted data if the predicted data is not within an acceptable range of the obtained data as measured by the likelihood measure; adjusting the data describing the initial state of the subsurface region based on the sensitivity before performing a subsequent iteration of predicting data describing the subsequent state of the subsurface region, wherein the adjusting is performed based on the likelihood measure having the largest change in sensitivity, such that at any point in parameter space only the likelihood measure that produces the largest change in sensitivity is chosen and drive the process until other measures catch up and the likelihood measure changes subsequently; and outputting the predicted data based on the adjusting.