On the Gamma ray reception study, this paper presents the heavy metal shielding method, which is using C type heavy metal to shield Sodium iodide scintillation crystal. By rotating the drilling tools to scan and detec...On the Gamma ray reception study, this paper presents the heavy metal shielding method, which is using C type heavy metal to shield Sodium iodide scintillation crystal. By rotating the drilling tools to scan and detect the gamma ray which are around the borehole wall formation, On study of angle measurement study, base on accelerometers and fluxgate sensors to design the algorithm which can confirm the detecting instrument measurement window position;Moreover, the paper also presents the Rock formation identification method, which is using changing tendency and sequencing of high side and low side gamma to decide the position of the drilling tool. Field experiments showed that the tool can effectively identify the reservoir and rock formation.展开更多
Azimuth gamma logging while drilling(LWD)is one of the important technologies of geosteering but the information of real-time data transmission is limited and the interpretation is difficult.This study proposes a meth...Azimuth gamma logging while drilling(LWD)is one of the important technologies of geosteering but the information of real-time data transmission is limited and the interpretation is difficult.This study proposes a method of applying artificial intelligence in the LWD data interpretation to enhance the accuracy and efficiency of real-time data processing.By examining formation response characteristics of azimuth gamma ray(GR)curve,the preliminary formation change position is detected based on wavelet transform modulus maxima(WTMM)method,then the dynamic threshold is determined,and a set of contour points describing the formation boundary is obtained.The classification recognition model based on the long short-term memory(LSTM)is designed to judge the true or false of stratum information described by the contour point set to enhance the accuracy of formation identification.Finally,relative dip angle is calculated by nonlinear least square method.Interpretation of azimuth gamma data and application of real-time data processing while drilling show that the method proposed can effectively and accurately determine the formation changes,improve the accuracy of formation dip interpretation,and meet the needs of real-time LWD geosteering.展开更多
文摘On the Gamma ray reception study, this paper presents the heavy metal shielding method, which is using C type heavy metal to shield Sodium iodide scintillation crystal. By rotating the drilling tools to scan and detect the gamma ray which are around the borehole wall formation, On study of angle measurement study, base on accelerometers and fluxgate sensors to design the algorithm which can confirm the detecting instrument measurement window position;Moreover, the paper also presents the Rock formation identification method, which is using changing tendency and sequencing of high side and low side gamma to decide the position of the drilling tool. Field experiments showed that the tool can effectively identify the reservoir and rock formation.
基金Supported by the PetroChina Major Scientific and Technological Project(ZD2019-183-006)Fundamental Scientific Research Fund of Central Universities(20CX05017A)China National Science and Technology Major Project(2016ZX05021-001)。
文摘Azimuth gamma logging while drilling(LWD)is one of the important technologies of geosteering but the information of real-time data transmission is limited and the interpretation is difficult.This study proposes a method of applying artificial intelligence in the LWD data interpretation to enhance the accuracy and efficiency of real-time data processing.By examining formation response characteristics of azimuth gamma ray(GR)curve,the preliminary formation change position is detected based on wavelet transform modulus maxima(WTMM)method,then the dynamic threshold is determined,and a set of contour points describing the formation boundary is obtained.The classification recognition model based on the long short-term memory(LSTM)is designed to judge the true or false of stratum information described by the contour point set to enhance the accuracy of formation identification.Finally,relative dip angle is calculated by nonlinear least square method.Interpretation of azimuth gamma data and application of real-time data processing while drilling show that the method proposed can effectively and accurately determine the formation changes,improve the accuracy of formation dip interpretation,and meet the needs of real-time LWD geosteering.
