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Nonlinear inversion res2dinv
Nonlinear inversion res2dinv






nonlinear inversion res2dinv
  1. NONLINEAR INVERSION RES2DINV FULL
  2. NONLINEAR INVERSION RES2DINV SOFTWARE

We have shown that a fault with high dip, between 60 and 90° as thin as 10 m (i.e. In a third step, we studied the sensitivity of the FWI fault imaging results as a function of the fault or the fault zone characteristics, namely, the fault dip, thickness and the contrast of physical parameters between the fault materials and the surrounding fresh rocks. From this study, we suggest rules to design the acquisition geometry in order to improve the fault detection, delineation and characterization. In a second step, we studied the sensitivity of the FWI fault imaging results as a function of the acquisition geometry parameters, namely, the number of shots, the intershot distance, the maximum offset and also the antenna length and well deviation. We first tuned the inversion algorithmic parameters in order to adapt the FWI software, originally dedicated to a sedimentary context, to a crystalline context.

nonlinear inversion res2dinv

NONLINEAR INVERSION RES2DINV FULL

Our approach consists of performing synthetic Full Wave 2D Inversion experiments using offset vertical seismic and comparing the estimated fields provided by the inversion, i.e., the estimated underground images, to the initial reference model including the fault target. The distant goal is to apply the method to the Soultz-sous-Forêts site (France). We have performed several sensitivity studies to assess the ability of the Full Wave Inversion method to detect, delineate and characterize faults in a crystalline geothermal reservoir from OVSP data. The result of this research can give n insight to study the large coastal area subsurface. From the analysis of the layers, all regions show the resistivity minimum is 0.00849 Ωm and 8.04 Ωm maximum resistivity. In some sections interpreted by sandy layer, clay, sandstone, alluvium, sandy in seawater and metal minerals. The results show that the area is underlain by two layers of lithologic sections.

NONLINEAR INVERSION RES2DINV SOFTWARE

Data processing using non-linear least square optimization with that of the 2D inversion software Res2Dinv. The method used in this study is the method of resistivity Wenner configuration by taking the data 1-2 lines each region with lengths 45 m, 75 m, 105 m, and 120 m respectively. This research will fill the gap in the resistivity method study which is this method not yet use in the coastlines area, especially area influenced by seawater and coastal condition impact like South Sulawesi. The data presented in this paper are related to the characterization of a subsurface layer of coastal area in South Sulawesi.








Nonlinear inversion res2dinv