Affiliation:
1. CNPC Engineering Technology R&D Company Limited, Beijing 102206, China
2. Petro China Southwest Oil & Gasfleld Company, Chengdu 610057, China
3. School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China
Abstract
Conventional Measurement-While-Drilling (MWD) technology is unable to function statically at the predicted temperatures of deep formations exceeding 200 °C in wells reaching depths of 10,000 m. It is limited to measuring downhole engineering parameters through purely mechanical means, such as inclination. However, the accurate long-distance transmission of drilling fluid pulse signals poses a significant bottleneck, restricting the application of these mechanical measurement methods. To address these issues, this paper develops and designs an algorithm to identify and analyze the amplitude characteristics of deep well mud signals. By employing a signal coding algorithm, a signal processing analysis method, and a signal feature recognition algorithm based on grey correlation degree, we construct a signal recognition method capable of decoding mud amplitude encoded signals. Key techniques such as filtering, smoothing, and feature extraction are utilized in the signal processing, and the proposed method’s effectiveness is verified through the analysis of collected signals. Furthermore, long-distance simulation analysis software is developed to evaluate waveform distortion during extended transmission, confirming the feasibility of the recognition algorithm. Laboratory experiments demonstrate that this algorithm can accurately recognize and demodulate signals generated by mechanical inclinometer structures, providing a novel decoding method for signal transmission in deep and ultra-deep wells.
Funder
PetroChina Key Core Technology Research Project, Research on key technology and equipment for drilling and completing 10,000-m ultra-deep oil and gas resource wells
Reference25 articles.
1. Status of Scientific Drilling Technology for Ultra–Deep Well;Zhang;Acta Geol. Sin.,2010
2. Progress and development direction of production test and reservoir stimulation technologies for ultra–deep oil and gas reservoirs in Tarim Basin;Liu;Nat. Gas Ind.,2020
3. (2024, July 30). NOV. Available online: https://www.nov.com/products/e-totco-electronic-drift-survey-tool.
4. Application Status of the Technology of Logging While Drilling;Peng;Adv. Mater. Res.,2014
5. Measurement and control technology while drilling for ultra–deep horizontal wells in Yuanba Gasfield;Tang;Oil Drill. Prod. Technol.,2015