You need JavaScript to view this

Data processing for the mise-a-la-masse survey; Ryuden den`iho tansa no data shori

Abstract

Data processing method was studied for mise-a-la-masse survey. Mise-a-la-masse method using wells as current sources measures resultant ground surface potential difference, and detects underground local resistivity anomaly. To extract resistivity anomaly largely different from surroundings, the anomaly is extracted as difference between the estimated value of regular resistivity structure (background) and potential difference or apparent resistivity. The following three approximations were attempted to estimate the background: the theoretical equation assuming isotropic homogeneous resistivity structure, that assuming horizontal multi-layered structure and the exponential function of distance from linear electrode for apparent resistivity, and these were compared with each other by numerical model experiment. The data processing method which determines the resistivity structure of the background and the residual of apparent resistivity distribution by inversion analysis using the above second equation, could precisely extract local resistivity anomaly, and estimate the depth distribution of resistivity. 5 refs., 10 figs., 2 tabs.
Authors:
Hashimoto, K; Mizunaga, H; Ushijima, K; [1]  Kaieda, H [2] 
  1. Kyushu University, Fukuoka (Japan). Faculty of Engineering
  2. Central Research Institute of Electric Power Industry, Tokyo (Japan)
Publication Date:
Oct 01, 1996
Product Type:
Conference
Report Number:
CONF-9610294-
Reference Number:
SCA: 580000; 420400; 150301; 440700; PA: NEDO-96:914772; EDB-97:076102; SN: 97001782528
Resource Relation:
Conference: 95. SEGJ conference, Butsuri tansa gakkai dai 95 kai (1996 nendo shuki) gakujutsu koenkai, Kyoto (Japan), 21-23 Oct 1996; Other Information: PBD: Oct 1996; Related Information: Is Part Of Proceedings of the 95th SEGJ Conference; PB: 344 p.; Butsuri tansa gakkai dai 95 kai (1996 nendo shuki) gakujutsu koenkai koen ronbunshu
Subject:
58 GEOSCIENCES; 42 ENGINEERING NOT INCLUDED IN OTHER CATEGORIES; 15 GEOTHERMAL ENERGY; 44 INSTRUMENTATION, INCLUDING NUCLEAR AND PARTICLE DETECTORS; ELECTRICAL SURVEYS; ELECTRIC POTENTIAL; FLUID FLOW; WELLS; DATA PROCESSING; ELECTRIC CONDUCTIVITY; UNDERGROUND; ISOTROPY; GEOLOGIC STRUCTURES; STRATIFICATION; LAYERS; SPACE DEPENDENCE; DEPTH
OSTI ID:
472677
Research Organizations:
Society of Exploration Geophysicists of Japan, Tokyo (Japan)
Country of Origin:
Japan
Language:
Japanese
Other Identifying Numbers:
Other: ON: DE97743637; TRN: 96:914772
Availability:
Available from The Society of Exploration Geophysicists of Japan, 2-18, Nakamagome 2-chome, Ota-ku, Tokyo, Japan; OSTI as DE97743637
Submitting Site:
NEDO
Size:
pp. 202-205
Announcement Date:

Citation Formats

Hashimoto, K, Mizunaga, H, Ushijima, K, and Kaieda, H. Data processing for the mise-a-la-masse survey; Ryuden den`iho tansa no data shori. Japan: N. p., 1996. Web.
Hashimoto, K, Mizunaga, H, Ushijima, K, & Kaieda, H. Data processing for the mise-a-la-masse survey; Ryuden den`iho tansa no data shori. Japan.
Hashimoto, K, Mizunaga, H, Ushijima, K, and Kaieda, H. 1996. "Data processing for the mise-a-la-masse survey; Ryuden den`iho tansa no data shori." Japan.
@misc{etde_472677,
title = {Data processing for the mise-a-la-masse survey; Ryuden den`iho tansa no data shori}
author = {Hashimoto, K, Mizunaga, H, Ushijima, K, and Kaieda, H}
abstractNote = {Data processing method was studied for mise-a-la-masse survey. Mise-a-la-masse method using wells as current sources measures resultant ground surface potential difference, and detects underground local resistivity anomaly. To extract resistivity anomaly largely different from surroundings, the anomaly is extracted as difference between the estimated value of regular resistivity structure (background) and potential difference or apparent resistivity. The following three approximations were attempted to estimate the background: the theoretical equation assuming isotropic homogeneous resistivity structure, that assuming horizontal multi-layered structure and the exponential function of distance from linear electrode for apparent resistivity, and these were compared with each other by numerical model experiment. The data processing method which determines the resistivity structure of the background and the residual of apparent resistivity distribution by inversion analysis using the above second equation, could precisely extract local resistivity anomaly, and estimate the depth distribution of resistivity. 5 refs., 10 figs., 2 tabs.}
place = {Japan}
year = {1996}
month = {Oct}
}