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作 者:左有祥 冯永仁[1] 鲁法伟 沈阳[1] 孔笋[1] 周明高[1] 秦小飞[1] ZUO Youxiang;FENG Yongren;LU Fawei;SHEN Yang;KONG Sun;ZHOU Minggao;QIN Xiaofei(Well Tech Department, China Oilfield Services LTD., Langfang, Hebei 065201, China;Shanghai Branch, CNOOC LTD., Shanghai 200030, China)
机构地区:[1]中海油田服务股份有限公司油田技术事业部,河北廊坊065201 [2]中海石油(中国)有限公司上海分公司,上海200030
出 处:《测井技术》2021年第2期128-133,共6页Well Logging Technology
基 金:“十三五”国家科技重大专项“超低渗地层测试技术与装备”(2017ZX05019-004)。
摘 要:介绍新型井下流体光谱仪的基本工作原理,利用机器学习开发了系统建模方法,测量大量的流体组成、性质和光谱数据,建立数据库,对不同数学模型进行训练、测试和验证,选出最佳模型用于新型井下流体光谱仪。该仪器被成功应用于井下流体实时分析、监督和取样。测试结果表明,该仪器能实时识别流体类型(气、油、水),而且能获得连续的近红外256全通道光谱随时间的变化,并且可以实时提供油(气)和水相分率、CO_(2)、C1、C2、C3、C4、C5和C6+的组成以及油气比的数据及其变化。The basic principle of the new downhole fluid spectrometer ia introduced,the systematically modeling methodology is developed by machine learning.A large number of fluid composition,fluid property,and spectral data are measured to establish a database.Thereafter,a variety of mathematical models are trained,tested and verified.The best model is selected for the new downhole fluid spectrometer.The new spectrometer is successfully applied to the real-time fluid analysis,monitoring and sampling offshore during the field test.The field test results show that the new downhole fluid spectrometer can not only identify the type of fluids(gas,oil,water)in real time,but also obtain changes of continuous 256 full channel near-infrared spectra with time.More importantly,it can also provide the change of the oil/gas and water fraction,the composition of CO_(2),C1,C2,C3,C4,C5 as well as C6+,and the oil-gas ratio in real-time.
关 键 词:新型井下流体光谱仪 光谱建模 井下流体分析 机器学习 实时取样和监督
分 类 号:P631.84[天文地球—地质矿产勘探]
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