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Hydrocarbon Identification Technique Based on Low Field NMR Well Logging of Drilling Fluids

机译：基于低场NMR井测井钻井液的烃识别技术

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1. Research on Oil-Based Drilling Fluids Emulsion Droplet by Low-Field NMR [J] . Zhang Rui, Huo Jin-hua, Peng Zhi-gang, Applied Magnetic Resonance . 2016,第12期

机译：低场核磁共振研究油基钻井液乳液滴
2. Resistivity correction for drilling fluid invasion using LWD and wire-line logging data: A case from high-porosity and low-permeability carbonate reservoirs, DLL Oilfield, Oman [J] . Tian Zhongyuan, Jiang Aming, Yan Weilin, Petroleum exploration and development . 2010,第4期

机译：使用随钻测井和电缆测井数据校正钻井液入侵的电阻率：以阿曼DLL油田的高孔隙度和低渗透性碳酸盐岩储层为例
3. Fractal characterization on pore structure and analysis of fluidity and bleeding of fresh cement paste based on H-1 low-field NMR [J] . Ji Yanliang, Sun Zhenping, Jiang Xiaoxing, Construction and Building Materials . 2017,第JUNa1期

机译：基于H-1低场NMR的新型水泥浆孔结构分形特征及流动性和渗出分析。
4. AUTOFLUID MODULE AS AN INNOVATIVE AND POWERFUL TECHNIQUE FOR HYDROCARBON IDENTIFICATION IN MATURE FIELDS WITH WIDE RANGE WATER SALINITY VARIATION [C] . Gilang Ariestya, Haris Kurniawan Hidayat, Gustiadi Rosa Proceedings of The 39th IPA convention and exhibition-Working together to accelerate solutions in anticipating indonesia's energy crisis . 2015

机译：自动流体模块作为一种创新的强大技术，可在大范围水质变化的成熟田中识别油气
5. New techniques to characterize and remove water-based drilling fluids filter cake [D] . Elkatatny, Salaheldin Mahmoud 2013

机译：表征和去除水性钻井液滤饼的新技术
6. Acoustic Emission and Echo Signal Compensation Techniques Applied to an Ultrasonic Logging-While-Drilling Caliper [O] . Yongchao Yao, Xiaodong Ju, Junqiang Lu, 2017

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7. Testing of Microporous Rocks Identification Method Based on Synthetic Well Logging Curves Calculation Technique in the Tournaisian stage of Bashkortostan Oilfields [O] . B.L. Khashper, O.V. Nadezhdin, L.R. Minikeeva, 2019

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8. Fluid Flow Model of the Cerro Prieto Geothermal Field Based on Well LOG Interpretation [R] . Halfman, S. E., Lippmann, M. J., Zelwer, R., 1982

机译：基于测井解释的Cerro prieto地热场流体流动模型

Hydrocarbon Identification Technique Based on Low Field NMR Well Logging of Drilling Fluids

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