渤海湾盆地渤中凹陷西南部深层烃源岩有机相预测  

Prediction of organic facies of deep source rocks in southwestern part of Bozhong Sag,Bohai Bay Basin

作　　者：王祥 马劲风[1,2,3] 王飞龙 王震亮 陈容涛[4] 闫昕宇 WANG Xiang;MA Jinfeng;WANG Feilong;WANG Zhenliang;CHEN Rongtao;YANXinyu(Department of Geology,Northwest University,Xi’an,Shaanxi 710069,China;National&Local Joint Engineering Research Center of Carbon Capture and Storage Technology,Xi’an,Shaanxi 710069,China;State Key Laboratory of Continental Dynamics,Xi’an,Shaanxi 710069,China;Exploration and Development Research Institute,Tianjin Branch of CNOOC,Tianjin 300452,China)

机构地区：[1]西北大学地质学系,西安710069 [2]二氧化碳捕集与封存技术国家地方联合工程研究中心,西安710069 [3]大陆动力学国家重点实验室,西安710069 [4]中海石油(中国)有限公司天津分公司勘探开发研究院,天津300452

出　　处：《石油实验地质》2022年第6期1070-1080,共11页Petroleum Geology & Experiment

基　　金：中海石油(中国)有限公司天津分公司课题“渤中凹陷深层成烃成藏机理与规律研究”(CCL2018TJTZDST0579)资助。

摘　　要：针对渤海湾盆地渤中凹陷西南部烃源岩层系多、非均质性较强等特点,开展了烃源岩干酪根显微组分、元素分析、岩石热解、气相色谱等地球化学分析测试,在沉积相的约束下对比了Δlog R系列方法、多元回归法、BP神经网络法预测有机质丰度参数的优劣,优选BP神经网络法进行烃源岩总有机碳含量、裂解烃含量的单井预测,进而计算得到氢指数预测曲线,结合总有机碳含量进行有机相分析,定量刻画各层系烃源岩的有机相,分析烃源岩的优劣和展布特征。结果表明,BP神经网络法的预测精度相对较高,东营组二段下亚段烃源岩主要为Ⅱ_(2)型干酪根,氢指数为125~400 mg/g,总有机碳含量基本小于3%,其有机相主要为BC相、C相和CD相;东营组三段烃源岩主要为Ⅱ_(1)—Ⅱ_(2)型干酪根,沙河街组沙一二段、沙三段烃源岩主要为Ⅰ—Ⅱ_(1)型干酪根,这三套烃源岩的氢指数为250~650 mg/g,总有机碳含量为3%左右或大于3%,其有机相主要为B相、BC相和C相。沙河街组优质烃源岩主要发育于研究区中南部,是下一步勘探的重点区域。Considering the characteristics of abundant source rock formations and heterogeneity in the southwestern part of the Bozhong Sag,Bohai Bay Basin,based on the geochemical and petrographic analysis of source rocks,the methods ofΔlog R series,multiple regression and BP neural network are applied to predict the organic matter abundance under the constraints of sedimentary facies.The BP neural network method is preferably used to predict the total organic carbon content and cracked hydrocarbon content of source rocks in a single well,and then the hydrogen index prediction curve is calculated.Combined with total organic carbon content,the organic phase of each source rock layer is quantitatively described,and the advantages and disadvantages and distribution characteristics of source rocks are analyzed.Results show that the prediction accuracy of BP neural network method is relatively higher.The source rocks in the lower section of the second member of Dongying Formation are featured by kerogen of typeⅡ_(2),hydrocarbon index of 125-400 mg/g,TOC content basically less than 3%,and organic facies of BC,C and CD types.The source rocks in the third member of Dongying Formation are featured by kerogen of typesⅡ_(1) toⅡ_(2).The source rocks in the first,second and third members of Shahejie Formation are featured by kerogen of typesⅠtoⅡ_(1),TOC content about 3%or higher than 3%,and organic facies of B,BC and C types.The highquality source rocks of the Shahejie Formation are mainly developed in the central and southern parts of the study area,and are the key areas for further exploration.

关 键 词：总有机碳含量 Δlog R方法 有机相 烃源岩 BP神经网络 渤中凹陷 渤海湾盆地 

分 类 号：TE122.113[石油与天然气工程—油气勘探]