Schlumberger Technology Corporation

Westerngeco L.l.p.

Geco Technology B.v.

Mikhail Zaslavsky

Vladimir L'vovich Druskin

Tarek M Habashy

Aria Abubakar

Ashok Belani

Vladimir Druskin

To construct a reduced order model of a subterranean structure, a model reduction algorithm is applied to produce the reduced order model that is an approximation of a true model of the subterranean structure. The model reduction algorithm uses interpolating frequencies that are purely imaginary to enhance computational efficiency of the algorithm.

Constructing a reduced order model of an electromagnetic response in a subterranean structure

Source-receiver compression is used to help design surveys and mitigate the computational costs of data set inversion. The source-receiver compression is based on data redundancy and sensitivity. More particularly, a compressed source array is produced for minimum redundancy and maximum sensitivity to reservoir model parameters. The synthesized transmitter array has a reduced number of sources, thereby reducing the number of forward model simulations needed to carry out the inversion. Furthermore, the data collected at the receivers employed in the survey can be compressed. This has the implication of reducing the computational cost of constructing the Jacobian matrix and inverting the corresponding Hessian matrix.

Data set inversion using source-receiver compression

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Brighton, MA, United States of America

Mikhail Zaslavsky