Imaging, High Resistivity Carbonate Reservoir Delineation and Well Placement –
            Application of a New HTHP Resistivity Imaging While Drilling Tool in China

Anzong, Li; Li, Chuanwei; Chen, Sijia; Zhu, Jing; Chen, Gang; Geng, Zunbo

doi:10.30632/t60als-2019_aaaaa

Cited by 1 publication

(1 citation statement)

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“…The azimuth electromagnetic wave resistivity logging instrument which can be installed on the drill collar [1][2][3][4] , offers a substantial detection depth. It is equipped with both axial and radial coils or inclined coils, enabling simultaneous measurement of axial and radial conductivity changes.…”

Section: Introductionmentioning

confidence: 99%

An FPGA-Based signal acquisition system for 3D holographic azimuthal electromagnetic resistivity logging instruments

Sun,

Xu,

Zhang

et al. 2024

J. Phys.: Conf. Ser.

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A signal acquisition system of a 3D holographic azimuthal electromagnetic resistivity logging instrument while drilling is designed based on the Field Programmable Gate Array (FPGA). The azimuth electromagnetic wave resistivity logging instrument is mainly composed of transmitting coils, receiving coils, and control circuits. The signal acquisition system mainly includes the receiving coil and corresponding signal acquisition and processing circuit. First of all, the whole structure of the electromagnetic wave resistivity instrument system while drilling is briefly introduced, and then each function module of the acquisition board is elaborated in detail, and the hardware realization of the signal acquisition module and the corresponding FPGA program design flow chart are given. The acquisition system makes full use of the structured design of the module and First input First output (FIFO) cache technology and can complete the functions of signal acquisition, data transmission, and control on the acquisition board in real-time by using Serial Communication Interface (SCI) information transmission interface. The simulation results show that the system can realize the function of data acquisition and processing well.

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Section: Introductionmentioning

confidence: 99%