Data processing techniques for a wireless data transmission application via mud

Abstract

The data measured by well bottom sensors can be transmitted to the surface through the drilling mud during oil drilling operations. This article introduces a data processing scheme for a wireless data transmission application via mud. The detailed signal processing procedure is given, and several data processing techniques used are discussed, mainly including data encoding and signal integrating method, signal filtering, data storage and manage method, peak detection, signal recognition, and data decoding method. The article uses M pulses in N slots to encode the values of actual parameters. A two step filtering method and a dynamic data storing and managing method are proposed. A mix peak detection method is utilized to find the position of a pulse by combining threshold method and neighbor comparison method. These techniques have been successfully used in an oil well drilling operation.

Research on Mud Pulse Signal Starting Time Extracting Algorithm in MWD

“…Literature [6][7] established the recognition model in line with the features of Manchester-encoded mud pulse signal. Literature [8] adopted the noise reduction algorithm which based on the collective empirical mode. Making use of numerical simulation signal and the measured drilling fluid signal, in this paper, we can not only adopt the numerical simulation model to simulate the drilling fluid signal model's characteristics but also use the quadratic correlation de-noising algorithm and local feature and waveform characteristics recognition algorithm to extract the mud pulse signal precisely and effectively recover the original mud pulse signal waveform.…”

Research on Manchester Coded Mud Pulse Signal Extraction

“…Literature [6][7] established the recognition model in line with the features of Manchester-encoded mud pulse signal. Based on the collective empirical mode, Literature [8] adopted the noise reduction algorithm .This paper analyzed the transmission format of underground Manchester encoded datum and use the morphological filtering algorithms to extract the mud pulse signal. It also proposed pattern-recognition algorithm to extract the waveform within two bit periods.…”

SDA-based Neural Network Approach for MWD Mud Pulse Signal Recognition

“…In Ref. [4], Zhao et al applied the comparison of threshold method and neighborhood method, which finds the position of the pulse by the method of mixed peak detection. In Ref.…”