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The AAPG/Datapages Combined Publications Database

Indonesian Petroleum Association

Abstract


23rd Annual Convention Proceedings (Volume 1), 1994
Pages 119-127

Application of Fractal Method for Quantifying Previous HitFaultNext Hit Geometry

Sigit Sukmono, Lilik Hendrajaya, Djoko Santoso

Abstract

The knowledge of Previous HitfaultNext Hit system geometry plays an important role in oil prospecting and is also a primary requisite to a better understanding of the mechanics of faulting in terms of the concentrations of stress and other departures from stress homogeneity which arise from complicated Previous HitfaultNext Hit geometries. It is very important to be able to quantify the Previous HitfaultNext Hit geometry and in this paper we discuss the application of the fractal method for quantifying Previous HitfaultNext Hit geometries. Because of their rough appearance over many length scales, faults can be regarded as fractal in which the Previous Hitfault'sNext Hit geometrical complexity or irregularity can be quantified by the fractal dimension number. The fractal dimension then can be related to other faulting mechanics processes such as the stress condition, degree of faulting or fracturing, fracturing energy density and physical properties of materials. For example we have calculated the fractal dimension of Semangko Previous HitFaultNext Hit System in South Sumatra and found the value of 1.35–1.56 which means that compared to the geometry of the San Andreas Previous HitFaultNext Hit System which has fractal dimension of 1.12–1.43, the Previous HitfaultNext Hit pattern of Semangka Previous HitFaultNext Hit System is much more random and chaotic. Therefore the fractal dimension number is a quantitative measure of the Previous HitfaultNext Hit geometry complexity. The application of the method is not only limited to Previous HitfaultTop geometry, but can also be applied to quantifying the extent of fracturing and any structural lineaments. The data used in this type of analysis can be taken from any scale from petrographic observation, from field observation or even air photography and satellite imagery.


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