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作 者:魏军 马国福 李婧 张希晨 向鑫 李少勇 WEI Jun;MA Guofu;LI Jing;ZHANG Xichen;XIANG Xin;LI Shaoyong(Research Institute of Exploration and Development,Yunmen Oilfield Company,PetroChina,Jiuquan,Gansu 735019,China;Geophysical Research and Development Center,BGP Inc.,CNPC,Zhuozhou,Hebei 072750,China)
机构地区:[1]中国石油玉门油田公司勘探开发研究院,甘肃酒泉735000 [2]东方地球物理公司物探技术研究中心,河北涿州072750
出 处:《石油地球物理勘探》2022年第S02期64-69,226-227,共8页Oil Geophysical Prospecting
摘 要:鸭儿峡区块断裂复杂、砂体纵向上相互叠置、横向上非均质性强,溶蚀孔隙型砂砾岩有效储层预测难度大,是该区勘探开发面临的主要问题。为此,综合运用GeoEast多窗口倾角扫描、构造导向滤波与相干属性技术,在明确断裂发育特征的基础上,通过流体活动性、烃类检测、BP神经网络反演开展扇体内幕精细刻画与“甜点区”预测,基于预测结果部署的探井、评价井相继获工业油流,开发井成功投产,油田原油产量大幅上升,实现了高效勘探、效益开发。另外,将构造精细解释技术与多属性联合分析相结合,可以对构造—岩性油气藏进行识别,是预测溶蚀孔隙型砂砾岩等复杂储层的有效方法。The Ya’erxia block has complex fractures,vertically superposed sand bodies,and strong horizontal heterogeneity,and the effective reservoirs of glutenite with dissolved pores are difficult to predict,which are the main problems confronted by the exploration and development in this area.Hence,this paper comprehensively uses GeoEast’s multi-window dip scanning,structure-oriented filtering,and coherent attributes.On the basis of known fracture development characteristics,we use fluid activity,hydrocarbon detection,and BP neural network inversion to carry out the fine description of the fan interior and the prediction of‘sweet spot areas’.The exploration and evaluation wells based on the prediction results have successively obtained industrial oil flow,and the production of development wells has been put into operation,with the crude oil production of reservoirs increasing significantly.This indicates that efficient exploration and beneficial development are achieved.In addition,the combination of fine structural interpretation and multi-attribute joint analysis can be used to quantitatively identify structurallithologic oil and gas reservoirs,which is an effective method to predict complex reservoirs such as glutenite with dissolved pores.
关 键 词:GeoEast解释系统 构造精细解释 地震反演 属性分析 流体检测
分 类 号:P631[天文地球—地质矿产勘探]
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