FPGA在随钻测井上的应用

Application of FPGA in Measurement While Drilling

摘要: 针对页岩气勘探领域随钻测井技术面临的泥浆脉冲信道带宽受限问题与传统中央处理器(CPU)实时处理瓶颈，本文提出一种基于现场可编程门阵列(FPGA)的自适应短时聚类(STC)算法硬件加速方案。该方案通过分子/分母解耦计算机制与四级流水线架构设计，有效突破传统串行处理的性能局限。实验验证结果表明，在典型高温高压环境下，该方案可实现高效的实时数据处理，同时具备高精度与低资源消耗的双重优势。所提出的创新设计包括独立流水线并行计算、寄存器重定时技术及定点量化优化，为复杂储层勘探装备的小型化与可靠性提升提供关键技术支撑。

Abstract: Aiming at the problems of limited bandwidth of mud pulse channel and real-time processing bottleneck of traditional Central Processing Unit (CPU) in the measurement while drilling (MWD) technology for shale gas exploration, this paper proposes a hardware acceleration scheme for the adaptive Short-Time Clustering (STC) algorithm based on Field-Programmable Gate Array (FPGA). By adopting a numerator/denominator decoupled calculation mechanism and a four-stage pipeline architecture design, this scheme effectively breaks through the performance limitations of traditional serial processing. Experimental verification results show that under typical high-temperature and high-pressure environments, the scheme can achieve efficient real-time data processing, while having the dual advantages of high precision and low resource consumption. The proposed innovative designs include independent pipeline parallel computing, register retiming technology, and fixed-point quantization optimization, which provide key technical support for the miniaturization and reliability improvement of complex reservoir exploration equipment.