Drilling leakage crack width prediction method based on neural network data mining

Abstract

The embodiment of the invention provides a drilling leakage crack width prediction method based on neural network data mining. The method comprises the steps that historical drilling data, a leakage stoppage case, an imaging logging real crack width and other data information of a target block are collected; data preprocessing is carried out on the collected data information, wherein the preprocessing content comprises data cleaning, integration and conversion; the preprocessed historical drilling data is used as input, the crack width is used as output, the imaging logging real crack width isused as a standard value, and a crack width prediction neural network model is obtained through supervision training and optimization; and the drilling instant data related to the target positive drilling well is imported into the neural network model, and the model automatically judges the corresponding well depth crack width at the moment. By utilizing the technical scheme provided by the embodiment of the invention, the crack width of the positive drilling well can be conveniently and accurately predicted in real time, so that decision support is provided for leakage stoppage constructionpersonnel, and the one-time leakage stoppage success rate of crack leakage is improved.

Description

technical field [0001] The invention relates to a method for predicting the width of a drilling loss fracture based on neural network data mining, and belongs to the field of drilling fluid fracture loss and plugging. Background technique [0002] There are some solutions to the problem of fracture width prediction in drilling plugging. At present, there are four common technical methods for predicting fracture width at home and abroad, including core comparison method, thin section identification method, flow analysis method and cross-well imaging logging method. [0003] The core comparison method mainly uses the rock coring method to observe and describe some geological characteristics including the fracture width. The limitation of this method is that the rock coring process is not only complicated but also expensive. The fracture width characteristics of the area, but the accuracy is low, and it cannot bring effective help to the fracture leakage. [0004] The thin se...

AI Technical Summary

Problems solved by technology

[0007] (1) The cross-well imaging logging method can only measure the fracture width after the plugging is successful, but cannot obtain the fracture width value when the on-site leakage occurs and the plugging operation is urgently needed, so it cannot support on-site auxiliary decision-making for leak plugging. It can only be verified after the fact, which is one of its major drawbacks

[0008] (2) Whether it is acoustic wave imaging, electromagnetic wave imaging or resistivity imaging, the test procedures are very complicated, the test cycle is very long, and the cost is high, so it is difficult to implement universally

[0010] This application proposes a technical solution for determining the width of horizontal fractures, but its disadvantages are: first, the method described in the application to determine the acoustic logging waveform by modeling has great uncertainty , will affect the final measured fracture width results; second, this method can only determine the target value of the horizontal fracture width, but cannot solve the problem of determining vertical fractures, oblique fractures, crossing fractures, etc., so it has great limitations

Images