Presenting a New Non-Linear Regression Model to Predict Fracture Gradient in One of the Hydrocarbon Formations in Iran Using Genetic Algorithms

چکیده مقاله

One of the principal parameters in the pre-design stage of drilling operations and completion wells is to determine the formation fracture gradient. Erroneous prediction of fracture gradient can increase the costs of a well design, differential sticking, surface and underground blowout and lost circulation of different hole sections. Furthermore, a good knowledge of the fracture gradient is a crucial factor in drilling activities and optimizing of well structure, it also plays a very important role in decreasing economic cost for future drilling the oil and gas industry. This paper presents, based on a mathematical GAs (Genetic Algorithms) model and GEP (Gene Expression Programming) approach have been developed to estimate the fracture gradient as a function of pore pressure gradient, overburden pressure gradient and Poisson’s ratio for one of the exploration fields in Iran.

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