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Joint iterative migration of surface and borehole gravity gradiometry data

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doi: 10.1190/segam2016-13849886.1
Authors:Wan, Le; Han, Muran; Zhdanov, Michael S.
Author Affiliations:Primary:
University of Utah, Salt Lake City, UT, United States
Volume Title:Society of Exploration Geophysicists international exposition and eighty-sixth annual meeting; technical program expanded abstracts
Volume Authors:Sicking, Charles, chairperson; Ferguson, John
Source:SEG Technical Program Expanded Abstracts, Vol.35, p.1607-1611; Society of Exploration Geophysicists international exposition and eighty-sixth annual meeting, Dallas, TX, Oct. 16-21, 2016, chaired by Charles Sicking and John Ferguson. Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States. ISSN: 1949-4645
Publication Date:2016
Note:In English. 18 refs.; illus.
Summary:Gravity and gravity gradiometry surveys have been widely used in mineral and petroleum exploration. Borehole gravity measurements can help to detect a deep target, which is of importance in studying both mineral and hydrocarbon (HC) deposits. Joint interpretation of surface and borehole gravity data can provide more insight about the subsurface geological structures than separate surface and borehole data. The major goal of this joint interpretation is to produce a 3D density distribution under the area of the a surface survey and in the vicinity of a borehole. This paper develops a novel approach to solving this problem based on the concept of potential field migration, which produces images of the subsurface density distribution. By applying the migration iteratively, we can generate a rigorous inverse model of the density distribution. The method is illustrated by the joint migration of the borehole and surface data for a set of representative density models.
Subjects:Boreholes; Clastic rocks; Density; Equations; Geophysical methods; Gravity field; Gravity logging; Gravity methods; Image analysis; Iterative methods; Petroleum engineering; Potential field; Reservoir properties; Reservoir rocks; Sandstone; Sea water; Sedimentary rocks; Shale; Three-dimensional models; Well-logging; Gradiometry data; Surface migration
Record ID:809338-100
Copyright Information:GeoRef, Copyright 2021 American Geosciences Institute. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
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