LQS_INVERSION v. 1.0
Abstract
FORTRAN90 codes for inversion of electrostatic geophysical data in terms of three subsurface parameters in a singlewell, oilfield environment: the linear charge density of the steel well casing (L), the point charge associated with an induced fracture filled with a conductive contrast agent (Q) and the location of said fracture (s). Theory is described in detail in Weiss et al. (Geophysics, 2016). Inversion strategy is to loop over candidate fracture locations, and at each one minimize the squared Cartesian norm of the data misfit to arrive at L and Q. Solution method is to construct the 2x2 linear system of normal equations and compute L and Q algebraically. Practical Application: Oilfield environments where observed electrostatic geophysical data can reasonably be assumed by a simple LQs model. This may include hydrofracking operations, as postulated in Weiss et al. (2016), but no field validation examples have so far been provided.
 Authors:

 Sandia National Laboratories
 Publication Date:
 Research Org.:
 Sandia National Lab. (SNLNM), Albuquerque, NM (United States)
 Sponsoring Org.:
 USDOE
 Contributing Org.:
 Sandia National Laboratories
 OSTI Identifier:
 1439590
 Report Number(s):
 LQS_INVERSION; 005717MLTPL00
SCR #2286
 DOE Contract Number:
 NA0003525
 Resource Type:
 Software
 Software Revision:
 00
 Software Package Number:
 005717
 Software CPU:
 MLTPL
 Source Code Available:
 Yes
 Other Software Info:
 Sandia National Laboratories handles all distributions.
 Country of Publication:
 United States
Citation Formats
Weiss, Chester J. LQS_INVERSION v. 1.0.
Computer software. Vers. 00. USDOE. 14 May. 2018.
Web.
Weiss, Chester J. (2018, May 14). LQS_INVERSION v. 1.0 (Version 00) [Computer software].
Weiss, Chester J. LQS_INVERSION v. 1.0.
Computer software. Version 00. May 14, 2018.
@misc{osti_1439590,
title = {LQS_INVERSION v. 1.0, Version 00},
author = {Weiss, Chester J},
abstractNote = {FORTRAN90 codes for inversion of electrostatic geophysical data in terms of three subsurface parameters in a singlewell, oilfield environment: the linear charge density of the steel well casing (L), the point charge associated with an induced fracture filled with a conductive contrast agent (Q) and the location of said fracture (s). Theory is described in detail in Weiss et al. (Geophysics, 2016). Inversion strategy is to loop over candidate fracture locations, and at each one minimize the squared Cartesian norm of the data misfit to arrive at L and Q. Solution method is to construct the 2x2 linear system of normal equations and compute L and Q algebraically. Practical Application: Oilfield environments where observed electrostatic geophysical data can reasonably be assumed by a simple LQs model. This may include hydrofracking operations, as postulated in Weiss et al. (2016), but no field validation examples have so far been provided.},
doi = {},
year = {2018},
month = {5},
note =
}
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