Rapid drill bit optimal selection method based on foundation pit anti-drill parameters

Abstract

The invention relates to the technical field of petroleum well drilling, in particular to a rapid drill bit optimal selection method based on foundation pit anti-drill parameters. The rapid drill bitoptimal selection method comprises the step of stratum sensitive anti-drill parameter extraction, the step of drill bit type selection statistics mode establishing and the step of drill bit optimal selection gray clustering, and the rapid drill bit optimal selection method is a rapid drill bit optimal selection method in which according to various well logging data of a well area where a to-be-drilled well is located, stratum sensitive anti-drill parameters are simply and accurately extracted, the drill bit type with the fast footage for different stratum well depths is selected through comparison, a stratum anti-drill parameter and corresponding efficient drill bit type big data mode base is established, a gray dynamic clustering analysis method is adopted, and the optimal drill bit typeis given for different well section stratums of a drilled well or a drilling well or the to-be-drilled well.

Description

technical field [0001] The invention relates to the technical field of oil drilling, in particular to a quick selection method for a drill bit based on formation anti-drilling parameters. Background technique [0002] The exploration and development of deep oil and gas resources is the main way to realize the strategic succession of oil and gas resources in oilfields. Vigorously developing deep well and ultra-deep well drilling technology is not only the need of exploration and development, but also the need of actively adapting to the competition in the drilling engineering technology service market. [0003] Relevant data show that China's recoverable oil resources are estimated to be 15 billion tons, about 8.5 billion tons to be discovered and proven, accounting for 57% of the proven recoverable oil resources. This part of unproven oil resources is mainly distributed in the four basins of Tarim, Junggar, Qaidam, and Turpan-Hami, which are the main replacement areas for C...

AI Technical Summary

Problems solved by technology

At present, the commonly used drill bit selection method is to select stratum cored rock samples to carry out the drillability and abrasiveness experiments of PDC micro-bits and roller-cone micro-drills under indoor uniaxial or confining pressure, to determine the rock sample formation. Drillability and abrasiveness, and then select the type of drill bit according to the latest standards of the petroleum industry and some mathematical analysis methods, such as discriminant analysis, neural network analysis and support vector machine method, but this method: First, it is limited by coring data , it is difficult to reflect the change of rock properties in heterogeneous formations, the obtained data of drillability grade and abrasiveness are scattered and discontinuous, and because the core is released from the bottom of the well to the surface, the rock drillability grade and abrasiveness data are scattered and discontinuous. The test results such as abrasiveness cannot fully reflect the actual situation of rock mechanics under the condition of underground temperature and pressure; second, mathematical analysis methods such as discriminant analysis, neural network analysis, and support vector machine Limitation, generally used for identification or discrimination of 3-5 types, the effect is better, and it cannot be used for the selection of various drill types and personalized drills developed and produced by multiple manufacturers and companies.

[0006] That is to say, there are problems in the existing selection method technical schemes based on discrete, random and limited experimental data, single anti-drilling parameters and strong limitations of commonly used mathematical methods for selection.

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