Detection Location And Data Processing Of Relief Well Based On Linear Electrode

The relief well detection system,as a guiding and positioning technology,is widely used to solve problems such as blowouts and loss of control in onshore and offshore oil and gas platforms due to its ability to adapt to highly complex working environments,high precision,and low error.In recent years,researchers at home and abroad have done a lot of researches on solving the problem of connecting relief well and accident well detection,proposing many measurement methods for relief wells,among which the electromagnetic detection method is the most commonly used.This article mainly focuses on the electromagnetic detection of relief wells,proposes a linear electrode-based relief well positioning detection method,and conducts research and work on azimuth and distance measurement during relief well drilling.The main research contents include:Firstly,this article conducts theoretical research on the linear electrode-based relief well electromagnetic positioning detection,analyzes the propagation and attenuation laws of the current released by the linear electrode in the formation,and studies the principle of inversion relationship between the relative distance and azimuth of the relief well and the accident well.On this basis,a three-dimensional simulation model of the linear electrode-based relief well positioning detection system was established using finite element software to analyze the effects of different excitation current sizes,probe positions,formation properties,and drilling fluids on the performance of the relief well detection system.Through analysis,it was found that compared with the traditional three-electrode system,the system proposed in this article with linear long electrode discharge has a longer detection distance,and in actual engineering,it requires lower sensitivity of the sensor,and the system detection performance is improved.Secondly,based on the three-dimensional simulation model,an outdoor and field test of the relief well detection system were carried out.During the experiment,different excitation current or voltage were set to simulate the influence of excitation current on the performance of the detection system.The relative azimuth and distance between two Wells are simulated by changing the position of the pipe.The collected magnetic field signals are processed to verify the feasibility and effectiveness of the detection system.Finally,on this basis,in order to improve the accuracy of the detection system and reduce the detection errors,an optimization method of the relief well detection system based on machine learning is proposed.The accuracy and feasibility of the optimization method of the relief well detection system based on machine learning are verified through machine training of the field drilling test data to predict the drilling well trajectory,and the results are compared with the measured well trajectory.It provides theoretical support for the precise control of drilling guidance in relief Wells.