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                [1]安涛,柴细元,陈宝,等.第59届SPWLA年会综述: 地层评价与测井技术新进展[J].测井技术,2018,42(06):612-621.[doi:10.16489/j.issn.1004-1338.2018.06.002]
                AN Tao,CHAI Xiyuan,CHEN Bao,et al.An Overview of the SPWLA 59th Annual Logging Symposium: Advances in Formation Evaluation and Logging Technology[J].WELL LOGGING TECHNOLOGY,2018,42(06):612-621.[doi:10.16489/j.issn.1004-1338.2018.06.002]
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                第59届SPWLA年会综述: 地层评价与测井技术新进展()
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                测井技术[ISSN:1004-1338/CN:61-1223/TE]

                卷:
                第42卷
                期数:
                2018年06期
                ?#38472;?
                612-621
                栏目:
                综述
                出版日期:
                2018-12-31

                文章信息/Info

                Title:
                An Overview of the SPWLA 59th Annual Logging Symposium: Advances in Formation Evaluation and Logging Technology
                文章编号:
                1004-1338(2018)06-0612-10
                作者:
                安涛1柴细元2陈宝2陈鹏2杨超登3金平阳4
                1.中国石油集团油田技术服务有限公司,?#26412;?00007;2.中国石油集团测井有限公司,陕西 西安710077;3.中国石?#32479;?#22478;钻探工程有限公司,?#26412;?00101;4.石油工业出版社,?#26412;?00011
                Author(s):
                AN Tao1CHAI Xiyuan2CHEN Bao2CHEN Peng2YANG Chaodeng3JIN Pingyang4
                1. CNPC Technical Service Company, Beijing 100007, China; 2. China Petroleum Logging CO. LTD., Xian, Shaanxi 710077, China; 3. CNPC Greatwall Drilling Company, Beijing 100101, China; 4. Petroleum Industry Press, Beijing 100011, China
                关键词:
                岩石物理学家和测井分析家协会测井仪器新方法地层评价发展趋势
                Keywords:
                SPWLA logging tool new methods formation evaluation the trend of international development
                分类号:
                P631.84
                DOI:
                10.16489/j.issn.1004-1338.2018.06.002
                文献标志码:
                A
                摘要:
                以第59届岩石物理学家和测井分析家协会(SPWLA)年会105篇交流论文为基础,对近一年来岩石物理与基础理论研究测井新仪器与新方法研发复杂油气藏及常规油藏非常规油气藏综合评价技术等领域的最新发展,以及会议展览专题讲座等内容进行了总结与分析在此基础上对测井方法测井仪器测井评价的国际发展趋势进行了分析讨论
                Abstract:
                105 technical papers as well as products show, workshop and field trip on well logging and formation evaluation during SPWLA 59th annual logging symposium provide the base for tracing the latest advancement and finding the difference. The advances include the rsearch about petrophysics and basic theory, logging tools and new methods, comprehensive evaluation on complex reservoirs, conventional reservoirs and unconventional reservoirs. Then further discussion about the trend of international development on logging methods, logging tools and log evaluations is presented.

                参考文献/References:

                1MALLAN K R, THORNE J, RICE P, et al. Petrophysical uncertainty analysis using spatial bootstrapping CݡSPWLA 59th Annual Logging Symposium, 2018.
                2NEWGORD C, GARCIA P A, ROSTAMI A, et al. Improved interpretation of electrical resistivity measurements in mixed-wet rocks: an experimental core-scale application and model verification CݡSPWLA 59th Annual Logging Symposium, 2018.
                3DAVIS L, ALLAN F, IBRAHIMOV R, et al. Applications of time lapse LWD to improve petrophysical interpretations and drive operational efficiencies CݡSPWLA 59th Annual Logging Symposium, 2018.
                4SKALINSKI M, MALLAN R, EDWARDS M, et al. Defining net pay cutoffs in carbonates using advanced petrophysical methods CݡSPWLA 59th Annual Logging Symposium, 2018.
                5CLINCH S, QUIREIN J, HADIBEIK H, et al. Trimodal characterization of multicomponent induction interpretation error resulting from model selection and tool response uncertainty CݡSPWLA 59th Annual Logging Symposium, 2018.
                6HERTEL A S, RYDZY M, ANGER B, et al. Upscaling of digital rock porosities by correlation with whole core CT scan histograms CݡSPWLA 59th Annual Logging Symposium, 2018.
                7ZHANG P, ABDALLAH W, MA S X M, et al. Extracting rock cation exchange capacity from electromagnetic measurements CݡSPWLA 59th Annual Logging Symposium, 2018.
                8CHENG K, HEIDARI Z, JIANG H. An experimental multi-physics method for quantifying cation exchange capacity of clay-rich rocks CݡSPWLA 59th Annual Logging Symposium, 2018.
                9BANKS J Y, TUGWELL A G, POTTER D K. Constraining uncertainty in complex reservoir descriptiona case history applying magnetic susceptibility to estimate permeability from core and cuttings CݡSPWLA 59th Annual Logging Symposium, 2018.
                10HULEA N L. Fundamental controls of perched water contacts: from recognition to modelling CݡSPWLA 59th Annual Logging Symposium, 2018.
                11PALAVECINO M, TORRES-VERDPN C, STROBEL J. Grain-size distribution, grain arrangement, and fluid transport properties: an integrated rock classification method for tight-gas sandstones CݡSPWLA 59th Annual Logging Symposium, 2018.
                12BONTER D, TRICE R, CAVALLERIC, et al. Giant oil discovery west of shetlandchallenges for fractured basement formation evaluation CݡSPWLA 59th Annual Logging Symposium, 2018.
                13JOHANSEN Y B, CHRISTOFFERSEN K, CHATTERJEE A, et al. Use of advanced wireline logs to reduce uncertainties in a complex reservoir: a case study from the Ivar Aasen oilfield in the Norwegian central north sea CݡSPWLA 59th Annual Logging Symposium, 2018.
                14ARNS H C, JIANG H, DAI H Y, et al. Pore-type partitioning for complex carbonates: effective versus total porosity and applications to electrical conductivity CݡSPWLA 59th Annual Logging Symposium, 2018.
                15RABINOVICH M, DARCY B, LESLIE R. Quantifying Voi in geosteering: a north sea case study CݡSPWLA 59th Annual Logging Symposium, 2018.
                16ANTONSEN F, MARIA E T D O, PETERSEN S A, et al. Geosteering in complex mature fields through integration of 3D multi-scale LWD-data, geomodels, surface, and time-lapse seismic CݡSPWLA 59th Annual Logging Symposium, 2018.
                17WANG H M, SHEN Q Y, CHEN J F. Sensitivity study and uncertainty quantification of azimuthal propagation resistivity measurements CݡSPWLA 59th Annual Logging Symposium, 2018.
                18THIEL M, OMERAGIC D. Azimuthal imaging using deep-directional resistivity measurements reveals 3D reservoir structure CݡSPWLA 59th Annual Logging Symposium, 2018.
                19MAESO C J, LEGENDRE E, HORI H, et al. Field test results of a new high-resolution, dual physics logging-while-drilling imaging tool in oil base mud CݡSPWLA 59th Annual Logging Symposium, 2018.
                20RONALD A, RABINOVICH M, WARD M, et al. Using directional LWD resistivity measurements to accurately place wells and reduce costs in complex turbidite formations CݡSPWLA 59th Annual Logging Symposium, 2018.
                21OSHIMA A, SYRESIN D, BLYTH M, et al. Advanced dipole shear measurements with a new logging while drilling sonic tool CݡSPWLA 59th Annual Logging Symposium, 2018.
                22WU H H, GOLLA C, PARKER T, et al. A new ultra-deep azimuthal electromagnetic LWD sensor for reservoir insight CݡSPWLA 59th Annual Logging Symposium, 2018.
                23VENKATARAMANAN L, EVIRGEN N, ALLEN D F, et al. An unsupervised learning algorithm to compute fluid volumes from NMR T1T2 logs in unconventional reservoirs CݡSPWLA 59th Annual Logging Symposium, 2018.
                24DUARTE S B, CANDIDA M D J, VIVIANE F D S, et al. Artificial intelligence use to predict severe fluid losses in pre-salt carbonates CݡSPWLA 59th Annual Logging Symposium, 2018.
                25GLOVER P W J, LORINCZI P, AL-ZAINALDIN S, et al. Advanced fractal modeling of heterogeneous and anisotropic reservoirs CݡSPWLA 59th Annual Logging Symposium, 2018.
                26AKKURT R, CONROY T T, PSAILA D, et al. Accelerating and enhancing petrophysical analysis with machine learning: a case study of an automated system for well log outlier detection and reconstruction CݡSPWLA 59th Annual Logging Symposium, 2018.
                27BLOUNT A, MCMULLEN A, DURAND M, et al. Maintaining and reconstructing in-situ saturations: a comparison between whole core, sidewall core, and pressurized sidewall core in the Permian basin CݡSPWLA 59th Annual Logging Symposium, 2018.
                28GAN Z, GRIFFIN T, DACY J, et al. Fast pressure-decay core permeability measurement for tight rocks CݡSPWLA 59th Annual Logging Symposium, 2018.
                29MERKEL R, MCCHESNEY J, TOMPKINS K. Calculated determination of variable wettability in the Middle Bakken and Three Forks, Williston Basin, USA CݡSPWLA 59th Annual Logging Symposium, 2018.
                30JAGADISAN A, HEIDARI Z. Experimental Quantification of Kerogen Wettability as a Function of Thermal Maturity CݡSPWLA 59th Annual Logging Symposium, 2018.
                31MOHSIN L, ALSHUKAILI A, MAHESH A L, et al. Natih B carbonate source rock: resource assessment to production test CݡSPWLA 59th Annual Logging Symposium, 2018.
                32SHAO W, CHEN S H, EID M, et al. Robust macroporous dolomite pore typing and quantification with LWD T1 or wireline T2 intrinsic logs CݡSPWLA 59th Annual Logging Symposium, 2018.
                33ADOLE S, BOYLE K, SUN B Q, et al. Reducing the uncertainty of porosity, saturation and completions optimization with NMR logging while drilling, Agbami Field West Africa CݡSPWLA 59th Annual Logging Symposium, 2018.
                34KAUSIK R, FELLAH K, FENG L, et al. Temperature dependence of 2D NMR T1T2 maps of shale CݡSPWLA 59th Annual Logging Symposium, 2018.
                35GARCIA A P, HAN Y, HEIDARI Z. An integrated workflow to estimate permeability through quantification of rock fabric using joint interpretation of nuclear magnetic resonance and electric measurements CݡSPWLA 59th Annual Logging Symposium, 2018.
                36HURSAN G, SILVA A S, ARAMCO S, et al. Slimhole NMR T1 logging while drilling enhances realtime petrophysics CݡSPWLA 59th Annual Logging Symposium, 2018.
                37ELSHAHAWI H, HUANG S, POLLOCK J. Novel smart cement for improved well integrity evaluatio CݡSPWLA 59th Annual Logging Symposium, 2018.
                38MOUSAVI M, SOZA E, HAN X G, et al. Petrophysical surveillancethe key drive in optimising wells performance CݡSPWLA 59th Annual Logging Symposium, 2018.
                39QUINTERO L F, WILSON G, NAJM E, et al. Identification of bypassed hydrocarbon through the integration of 3D resistivity imaging and pulsedneutron logging CݡSPWLA 59th Annual Logging Symposium, 2018.
                40ZHU D, HILL D, ZHANG S. Using tempreture measurements from production logging/downhole sensors to diagnose multistage fractured well flow profile CݡSPWLA 59th Annual Logging Symposium, 2018.
                41BUNCE J, LEONE A, FOGLIO G, et al. Production petrophysics in Liverpool Bay assets: the driver for a successful rejuvenation strategy CݡSPWLA 59th Annual Logging Symposium, 2018.
                42SELVEINDRAN A, CHEN P, BOSE S, et al. An integrated petrophysics driven CO2 EOR scoping study CݡSPWLA 59th Annual Logging Symposium, 2018.
                43JOHNSON A. Upscaling of satuation height functions CݡSPWLA 59th Annual Logging Symposium, 2018.
                44KOSANKE T, PERRY S, GREENE J, et al. High-resolution hyperspectral imaging technology: subsurface characterization through multi-discipline integration CݡSPWLA 59th Annual Logging Symposium, 2018.
                45SIMON M, TKABLADZE A, BEEKMAN S, et al. A revolutionary X-ray tool for true sourceless density logging with superior performance CݡSPWLA 59th Annual Logging Symposium, 2018.
                46NORBISRATH J H. Dielectric permeability logging CݡSPWLA 59th Annual Logging Symposium, 2018.
                47BACCIARELLI M, ROJAS P R, ELKINGTON P, et al. Focused nuclear magnetic resonance CݡSPWLA 59th Annual Logging Symposium, 2018.

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                [2]赵培华.加强技术攻关,搞好科学管理,闯出市场经济下生产测井仪器设备发展之路CNPC油田开发生产测井仪器设备及应用研讨会总结[J].测井技术,1999,23(S1):485.
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                [4]朱世和,李哲,周武,等.辽河测井公司固井质量评价技术[J].测井技术,2004,28(S1):13.
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                [5]本刊编辑部.国外测井仪器水平[J].测井技术,1978,02(01):86.
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                [10].测井设备高温高压试验装置[J].测井技术,1978,02(05):61.

                备注/Memo

                备注/Memo:
                第一作者:安涛,男,1962年生,教授级高级工程师,从事测井射孔等技术管理工作E-mail:[email protected]
                更新日期/Last Update: 2018-12-31
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