Conferences related to Well Logging

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2021 IEEE Pulsed Power Conference (PPC)

The Pulsed Power Conference is held on a biannual basis and serves as the principal forum forthe exchange of information on pulsed power technology and engineering.


ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


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Periodicals related to Well Logging

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


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Most published Xplore authors for Well Logging

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Xplore Articles related to Well Logging

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Lithology Identification Methods Contrast Based on Support Vector Machines at Different Well Logging Parameters Set

2010 International Conference on Computational and Information Sciences, 2010

Based on the coring well and well logging data, according to three methods, including M-N value, curve superposition and curve characteristic value, which are often be used on lithology identification, three different well logging curve parameters set was collected, joining with SVM, lithology identification was fulfilled, after that, to selecting the best well logging parameters set that suitable to used ...


Response Analysis of High Frequency Electromagnetic Wave Well Logging

2006 6th International Conference on ITS Telecommunications, 2006

High frequency electromagnetic wave well logging can eliminate the influence of water salinity in the stratum remarkably. Further more, it can provide an accurate explanation in the water flood layers with low conductivity, according to measuring dielectric constant. Its response will be analyzed in this paper


Analysis of electromagnetic well logging tools for oil and gas exploration using finite volume techniques

2007 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference, 2007

We analyze the response of logging-while-drilling (LWD) tools for oil exploration in complex three-dimensional borehole environments using finite- volume (FV) algorithms in cylindrical coordinates. Both eccentric boreholes and dipping beds scenarios are considered. In order to model eccentric boreholes, a face-based locally-conformal FV scheme is employed. We implement two distinct FV approaches, viz., the direct-field formulation and the coupled vector-scalar ...


Design of general-purpose acquisition-control module for well-logging signal based on DSP and FPGA

Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC), 2014

The signal-acquisition-control-modules of existing well-logging tools have poor universality, low integration and poor stability. A general-purpose signal-acquisition-control module for versatile well-logging tool is designed which is based on SM320F28335 DSP chip and A3P250 FPGA chip. The composition of the hardware circuit is given. The acquisition on analog signals, pulse signals, as well as waves can be completed by this module, ...


Automatic Stratification Strategy of Well Logging Curves Based on Wavelet Transform

2017 International Conference on Smart Grid and Electrical Automation (ICSGEA), 2017

Based on the feature analysis of well logging signal noise, we try to establish a well logging noise model in this paper. The problems focus on the implementation of Symlet wavelet and cubic spline wavelet on curves stratification of well logging signal. According to the specialty of well logging signals, we adopt discrete wavelet transform and wavelet packet to be ...


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Educational Resources on Well Logging

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IEEE-USA E-Books

  • Lithology Identification Methods Contrast Based on Support Vector Machines at Different Well Logging Parameters Set

    Based on the coring well and well logging data, according to three methods, including M-N value, curve superposition and curve characteristic value, which are often be used on lithology identification, three different well logging curve parameters set was collected, joining with SVM, lithology identification was fulfilled, after that, to selecting the best well logging parameters set that suitable to used on lithology identification according to error minimum principle through contrasting the results. Results show that two of three different parameters set indicated the error minimum characteristic on the process, those are curve superposition value and curve characteristic value, the parameters sets of curve superposition value and curve characteristic value methods can be the preferable fundamental data to be used on lithology identification from well logging.

  • Response Analysis of High Frequency Electromagnetic Wave Well Logging

    High frequency electromagnetic wave well logging can eliminate the influence of water salinity in the stratum remarkably. Further more, it can provide an accurate explanation in the water flood layers with low conductivity, according to measuring dielectric constant. Its response will be analyzed in this paper

  • Analysis of electromagnetic well logging tools for oil and gas exploration using finite volume techniques

    We analyze the response of logging-while-drilling (LWD) tools for oil exploration in complex three-dimensional borehole environments using finite- volume (FV) algorithms in cylindrical coordinates. Both eccentric boreholes and dipping beds scenarios are considered. In order to model eccentric boreholes, a face-based locally-conformal FV scheme is employed. We implement two distinct FV approaches, viz., the direct-field formulation and the coupled vector-scalar potentials formulation. The numerical results show that both FV approaches provide accurate results for the examples considered.

  • Design of general-purpose acquisition-control module for well-logging signal based on DSP and FPGA

    The signal-acquisition-control-modules of existing well-logging tools have poor universality, low integration and poor stability. A general-purpose signal-acquisition-control module for versatile well-logging tool is designed which is based on SM320F28335 DSP chip and A3P250 FPGA chip. The composition of the hardware circuit is given. The acquisition on analog signals, pulse signals, as well as waves can be completed by this module, which can control both relay and analog switch. The module can provide versatile bus interfaces. On different well-logging tools, no change is needed for the hardware circuit, what's only needed is to download the corresponding procedure. Tests show that this module works stably and has high performance and low failure rate, which shows that it is suitable for the mal-condition of high temperature and pressure underground.

  • Automatic Stratification Strategy of Well Logging Curves Based on Wavelet Transform

    Based on the feature analysis of well logging signal noise, we try to establish a well logging noise model in this paper. The problems focus on the implementation of Symlet wavelet and cubic spline wavelet on curves stratification of well logging signal. According to the specialty of well logging signals, we adopt discrete wavelet transform and wavelet packet to be used to decompose the logging signal, which can saves vertical resolution of logging curve, and maximum possible recovery of thin layer information. The simulations indicate the wavelet analysis method for automatic logging curve stratification proposed in this article better reflects the interface of lithology change and the result of automatic stratification is basically consistent with the actual situation, which shows obvious theoretical and practical significance to the research of well logging curves stratification.

  • Transceiver circuit design based on OFDM technology for well-logging cable telemetry system

    In order to realize application of OFDM technology in the high-speed cable telemetry system, this paper detailedly designs the data transceiver circuits of both ends of the well-logging cable. The high-speed data processor, the low-power and high-precision electronic devices were selected in this design. The designed circuit system allows data to be transmitted stably at the rate of no less than 1 Mbps through the 7000 m well-logging cable. In addition, the circuit can meet well the special requirement of well-logging application environment, such as small size, high temperature endurance, etc.

  • An Efficient Lossless Compression Algorithm for Well Logging Result Drawings

    Since the data of Well Logging Result Drawings is so large, it is necessary to apply efficient algorithm to compress them. Based on the lossless compression of LZMA (Lempel-Ziv-Markov chain-Algorithm), this paper presents a new compressing algorithm for Well Logging Result Drawings after analyzing Result Drawings in CGM (Computer Graphics Metafile) format. The experiment results indicate that the compression ratio of the proposed new algorithm for the Result Drawings with cgm format is larger than currently popular compression software. The new algorithm is also suitable to compress Result Drawings in any other vector format.

  • Wavelet Analysis of Well-Logging Data in Petrophysical and Stratigraphic Correlation

    Sequence stratigraphy is a great contribution to the analysis and characterization of oil reservoirs. But how to divide sequence stratigraphic units quantitatively is the urgent problem to solve. Well logging signal representing litho logy and physical properties embrace much information related to sedimentary cycles, and wavelet analysis of signal has good time- frequency local adjustable performance to be able to identified different frequency cycles. So we can draw the conclusion that the sediment cycles in different periods can be identified by using wavelet and analysis of well log curves. In terms of the properties of the wavelet bases and the characteristics of logging signals, dmey 12 is chosen for the cycle classification of logging curve. The research shows that the wavelet analysis is a helpful complementary technique for the location of stratigraphic sequences.

  • A comparison of numerical mode-matching techniques for the analysis of well-logging tools

    Two numerical mode-matching (NMM) techniques are compared for the analysis of logging-while-drilling (LWD) tools within borehole crossing in geophysical formations. The logging tools as well as the borehole and the surrounding geophysical formation are modeled as a stratified medium in cylindrical coordinates. One NMM technique perform a vertical expansion of the fields and a mode-matching is used to incorporate the radial stratifications. In the second NMM formulation, the fields are first expanded in radial direction and subsequently matched along each axial boundary. We present validation results and a preliminary analysis of the accuracy of these two NMM approaches to model typical well-logging tools used for hydrocarbon exploration.

  • PCTR: An improved approach to digitizing well-logging parameter graph

    According to the characteristics of well-logging graphs, we contribute a PCTR (preprocessing, compressing, tracing, and rectifying) approach to digitizing skeleton type of curves. The preprocessing algorithm is based on the biggest variance ratio. We employed line adjacency graph (LAG) data structure to develop the image-compressing algorithm, which compresses image file with great efficiency. The rectifying algorithms based on centimeter grid of coordinates, which perfectly rectify the distortion of parameter graph, are proposed. The experimental results show that the PCTR approach in the system can work effectively.



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