By V. P. Dimri, R. P. Srivastava, Nimisha Vedanti
Researchers within the box of exploration geophysics have built new equipment for the purchase, processing and interpretation of gravity and magnetic information, in response to particular investigations of bore wells all over the world. Fractal types in Exploration Geophysics describes fractal-based types for characterizing those complicated subsurface geological structures.
The authors introduce the inverse challenge utilizing a fractal procedure which they then boost with the implementation of an international optimization set of rules for seismic info: very quick simulated annealing (VFSA). This procedure presents high-resolution inverse modeling results-particularly invaluable for reservoir characterization.
* Serves as a worthy source for researchers learning the applying of fractals in exploration, and for practitioners at once employing box info for geo-modeling * Discusses the elemental ideas and sensible purposes of time-lapse seismic reservoir tracking technology-application quickly advancing subject * offers the basics for these attracted to reservoir geophysics and reservoir simulation examine * Demonstrates an instance of reservoir simulation for stronger oil restoration utilizing CO2 injection
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Additional info for Fractal Models in Exploration Geophysics: Applications to Hydrocarbon Reservoirs
7. 5), the uncertainty in H estimates using R/S analysis is not a big problem. 5; thus, it does not change the nature of our time series. 99. 4. VERY FAST SIMULATED ANNEALING VFSA is a modified form of simulated annealing (SA)—a global optimization method used in many geophysical parameter estimation problems. , 1953). In this study, we have used VFSA as an optimization module where we draw a prior realization from a fractal-based technique. To make the discussion self-contained, we outline here, in brief, the concepts behind VFSA optimization.
1986). Thus, for enhanced detectibility of geophysical anomaly, one should try to design a measuring network with fractal dimension close to 2. , 1986). However, in a real field scenario, it becomes difficult to design a practical survey network with D ¼ 2 because of many logistical problems, such as inaccessible terrain. Thus, before moving to the field, a synthetic study was carried out to plan the survey network in its initial phase. In this study, the fractal dimension of various networks (grids) designed according to the shape of the study area were computed to find out the optimum station spacing for enhanced detectibility limit.
5. CONCLUSION The new method to generate fractal geometry using modified Voronoi tessellation discussed here is very useful for any kind of inverse and forward geophysical modeling. 0 Chapter 2 Structural Modeling Using Fractals 45 tessellation in two ways, first it uses Lp norm, which enables irregular shaped geometry, and second it uses affine companding (compression and expanding), which provides a way to model the bodies of longer horizontal extents than the vertical and vice versa. The geometry of natural sources is so complex that approximating it with irregular (fractal) geometry will be useful in the case of high resolution studies.