Time series modeling of mud pulse telemetry with multiple modulators

• Project/Area Number: 17K00068
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Statistical science
• Research Institution: The Institute of Statistical Mathematics
• Principal Investigator: Koyama Shinsuke 統計数理研究所, モデリング研究系, 准教授 (20589999)
• Project Period (FY): 2017-04-01 – 2020-03-31
• Project Status: Completed (Fiscal Year 2019)
• Budget Amount: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000); Fiscal Year 2019: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000); Fiscal Year 2018: ¥260,000 (Direct Cost: ¥200,000、Indirect Cost: ¥60,000); Fiscal Year 2017: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
• Keywords: マッドパルス伝送 / 時系列解析 / 伝送路容量 / 統計モデリング / マッドパルス

Outline of Final Research Achievements

Mud pulse telemetry is widely used in "measurement while drilling (MWD)" systems to transmit signal from the bottom hole to the ground. In this study, we propose a signal processing method, which is based on time series modeling and the maximum likelihood principle, to enhance the transmission capacity via the multiple modulators. We show using a simulation that our method outperform the conventional correlation-based method in the transmission capacity.

Academic Significance and Societal Importance of the Research Achievements

本研究の意義は、多段型マッドパルス伝送の高速化を検証するための方法（圧力波データの時系列モデリングと信号の最尤推定）を提示したことである。特に，最尤推定は従来の相関処理による方法に比べて信号復元の精度が改善されることをシミュレーションで示し、より現実的な掘削中のデータを用いた検証への方向性を示した。