The acoustic impedance (AI) differences between gas-sand and shale are very small in SLG gas field of Western China. Therefore the lithologic prediction solely by AI inversion will lead to multi-solution problem. Ni proposed a new elastic impedance (EI) calculation method (Ni, 2003) to deal with the seismic inversion and the prediction of lithology and fluid. In this paper, we compared this met...

This paper attacks the problem of seismic travel-time inversion using genetic algorithms. Seismic surveying is usually a precondition to engineering and construction work in an area and travel-time inversion is a method of deducing sub-surface features from the measured travel-times of seismic waves. We consider both the one-dimensional and two-dimensional versions of the problem and explore di...

results of velocity structure modeling in the earth's crust using a comparison approach of receiver function analysis and joint inversion of receiver functions with surface wave dispersion data are presented in this paper. seismograms of the teleseismic events that have been recorded on a broadband seismic station in the central alborz were used for data processing. velocity models that we...

We introduce a new open-source toolkit for the well-tie or wavelet extraction problem of estimating seismic wavelets from seismic data, time-to-depth information, and well-log suites. The wavelet extraction model is formulated as a Bayesian inverse problem, and the software will simultaneously estimate wavelet coefficients, other parameters associated with uncertainty in the time-to-depth mappi...

Worldwide interest in shale plays has rapidly increased in recently years, thanks to the combination of horizontal drilling and hydraulic fracturing. Shale formations act as both the source and the reservoir for the natural gas and usually exhibit anisotropic properties at larger scale. Geological and petropysical studies found that the right combination of thickness, TOC (total organic carbon)...

Porosity is one of the key parameters associated with oil reservoirs. Determination of this petrophysical parameter is an essential step in reservoir characterization. Among different linear and nonlinear prediction tools such as multi-regression and polynomial curve fitting, artificial neural network has gained the attention of researchers over the past years. In the present study, two-dimensi...

INTRODUCTION Problem of reservoir estimation. The optimal exploitation of hydrocarbon reservoirs requires the accurate estimation of the reservoir's characteristics. Placement of wells, injection of gas and water, and production rate of hydrocarbons depend on the correct assessment of the reservoir properties. Furthermore, the field's properties change over tim e as reservoir pore fluid is remo...

This is the second paper in a two-part series that describes a massively parallel code that performs 2D full-waveform inversion of wide-aperture seismic data for imaging complex structures. We present several numerical validation of the full-waveform inversion code with both canonical and realistic synthetic examples. We illustrate how different multiscale strategies can be applied by either su...

In July 2019, a series of seismic events, including magnitude (Mw) 7.1 mainshock and Mw 6.4 foreshock, occurred in Eastern California. Studying these events can significantly improve our understanding the California tectonic environment. Sentinel-1A ALOS-2 PALSAR images were utilized to obtain co-seismic deformation fields, foreshock deformation. The Okada elastic dislocation model ascending de...

A method is demonstrated for recording and inverting in-line and broadside seismic refraction and reflection data to obtain three-dimensional structure and velocity information. This technique of spatial seismic refraction recording produces a superabundance of common ray intersections at the target horizon. The full power of the linear least-squares inversion method may be used in the overcons...