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《Chinese Journal of Geophysics》 2013-01
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Compressive sensing based coding method for M/LWD transmission

ZHANG Yu1,XIONG Ke1,2,QIU Zheng-Ding1,WANG Sheng-Hui1 1 Beijing Key Laboratory of Advanced Information Science and Network Technology,Institute of Information Science, Beijing Jiaotong University,Beijing 100044,China 2 Department of Electronic Engineering,Tsinghua University,Beijing 100084,China  
Measurement/Logging While Drilling(M/LWD) is a drilling technique,which incorporates measurement sensors into drill strings,measuring and transmitting logging data in real time with the drilling process.Compared with traditional logging technologies,M/LWD is able to make drilling operations more cost-efficient and available to drill wells in complex geology.The effectiveness and reliability of logging data transmission is one of the biggest technical difficulties and challenges which hinder the development of M/LWD.In the M/LWD system,logging data is transmitted via mud-pulse telemetry from the underground installations to the surface site to help field techniques optimize the drilling process.Because the drilling mud channel is a one-way non-feedback erasure channel with long transmission delay and very low transmission speed,it is hard to correct transmission errors caused by drilling mud channel noise in real time by using traditional erasure correcting code(ECC) and automatic request for repetition(ARQ).In this paper,we present a drilling mud channel coding algorithm based on Compressive Sensing(CS) for reliable real-time logging data transmission in M/LWD systems,which has the advantages of short code length and linear encoding and decoding complexity.By compressive sensing reconstruction algorithms for original logging data recovery at the surface site,field technicians can get all real-time logging data in the random erasure channel conditions.So the proposed Compressive Sensing Channel Coding(CSCC) scheme is tolerant to erasure probability of drilling mud channel and can greatly reduce logging data transmission errors.Numerical experiments performed with a large amount of real field data show that CSCC scheme achieves good erasure decoding performance with good real-time performance and provides precise enough results for drilling field technicians.Furthermore,it also provides a flexible interface for field technicians to adjust an effective coding rate according to various erasure probability of drilling mud channel to meet the requirements of transmission accuracy.
【Fund】: 国家高技术研究发展计划(863计划)“旋转导向钻井系统工程化技术研究”(2007AA090801-04);; 国家科技重大专项课题“海上稠油高效开发新技术”子课题“多枝导流适度出砂技术”(2008ZX05024-003)资助
【CateGory Index】: P631.83
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