Detection performance of azimuthal electromagnetic logging while drilling tool in anisotropic media

Wu, Zhi Qiang; Wang, Lei; Fan, Yiren; Deng, Shaogui; Huang, Rui; Xing, Tao

doi:10.1007/s11770-020-0804-z

Cited by 9 publications

(3 citation statements)

References 18 publications

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“…Additionally, it provides a real-time display of interface azimuth and distance. This technology demonstrates significant advantages in formation resistivity measurement, interface detection, anisotropy evaluation, and pressure abnormality prediction [5][6] . Consequently, it has emerged as a pivotal technique for geosteering.…”

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%

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

Sun,

Xu,

Zhang

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…The conventional cable logging method has low e ciency, because it requires drilling to be completed before logging, and the measurement results are easily affected by external environmental factors such as borehole environment, drilling uid and mud intrusion, which cannot meet the actual drilling requirements. However, logging while drilling is to install the transmitter and receiver coils on the drill collar, meanwhile, by calculating the phase difference and amplitude attenuation of receiver coils, the spatial and temporal distribution characteristics of electromagnetic eld are established, and the conductivity of different formations is detected, so as to obtain the formation material information(Zhu, Gao and Wang 2023, Li et al 2022, Wu et al 2020, Huang, Coope and Shen 1984, Bittar et al 2009). Logging-while-drilling technology overcomes the shortcomings of traditional methods, can detect formation information while drilling (Li et al 2005), improve operation e ciency and cut down the cost of oil eld development.…”

Section: Introductionmentioning

confidence: 99%

Deep learning-based method for reducing the number of transmitting coils in logging while drilling tool

Liu,

Kong,

Chen

et al. 2023

Acta Geophys.

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Electromagnetic wave logging while drilling (LWD) technology is an important tool for evaluation of formation oil and gas content. It generally adopts multi-transmitter-receiver coil system structure and the symmetrical coil system arrangement with equal transmitter-receiver spacing can obtain the measurement results with borehole compensation, thus reducing the in uence of environmental factors on formation resistivity parameters. At present, the space of the drill collar to hold the coil system is limited and the power supply of the LWD instrument is limited. However, under the premise that the drilling quality remains unchanged, reducing the number of transmitting coils is bene cial to shorten the length of the LWD tool and reduce the power consumption. This paper focuses on reasonable inversion of logging data through deep learning technology, which is combined with Levenberg-Marquardt (LM) algorithm, modular and fast construction of deep neural network (DNN) model. Under the condition of reducing outermost transmitting coil, the measurement results with borehole compensation are realized by inversion, thereby we can shorten the instrument length to reduce drilling tool sticking risk and reduce the LWD instrument structure complexity, high power and other problems.At the same time, the accuracy of inversion is tested. The results show that the DNN method can achieve highprecision inversion, and the average error is reduced by about 50% compared with the traditional algorithm such as linear regression.

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“…They also used the random forest to fit data and identify an optimal combination of tool parameters. Wu et al (2020) quantitatively analysed the effect of anisotropy on tool responses and data processing. They investigated the sensitivity of tool to electric anisotropy and inversion accuracy.…”

Section: Introductionmentioning

confidence: 99%

Coil optimization of ultra-deep azimuthal electromagnetic resistivity logging while drilling tool based on numerical simulation

Kang

Qin

Zhang

et al. 2022

J Petrol Explor Prod Technol

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This paper presents a coil optimization method of the ultra-deep azimuthal electromagnetic (EM) resistivity Logging While Drilling (LWD) to obtain the best parameters of the tool for formation boundary detection by theory. First, a rapid numerical simulation algorithm, i.e. the Fast Hankel Transform (FHT) method, is developed to simulate the logging responses of the layered formation. A system of double inclined coils is selected based on the response characteristics and the depth of detection (DOD) from four common coils. Simulation results demonstrated that the optimal coils are perfectly suitable for anisotropic formation. Then, the crucial parameters of the frequency and spacing of the selected coils with a DOD of 30 m are determined using the Picasso diagram. In addition, the influences of the electrical parameter of the drilling collar and resistivity anisotropy of the formation on the response are investigated. The results show that the conductivity of the drilling collar, the thickness and the resistivity anisotropy of the formation all affect the DOD. Finally, formation models with different layers are created to verify the performance and signal intensity. The results demonstrate that the optimized coils not only have a large DOD but also possess a high signal intensity, further confirming the advantages of the preferred coils. Compared with the conventional physical experiment tests, the method of coil optimization proposed in this paper is more economical and efficient. The findings of this study can help better understand the detection characteristics of the different coils, which can provide theoretical support for designing and developing a tool with the best boundary capability.

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Detection performance of azimuthal electromagnetic logging while drilling tool in anisotropic media

Cited by 9 publications

References 18 publications

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

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

Deep learning-based method for reducing the number of transmitting coils in logging while drilling tool

Coil optimization of ultra-deep azimuthal electromagnetic resistivity logging while drilling tool based on numerical simulation

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