摘要
双河油田是泌阳凹陷的重要储量区和产油区,主要的油藏类型为岩性油藏,但储层的厚度薄、相变快,地震资料垂向分辨率较低,制约着岩性圈闭的发现和落实。将地质模式与地震资料解释技术相结合,探索并总结一套“逐级控制、逐步逼近”的薄储层预测方法,即首先在正演模拟的基础上,阐明薄储层地震资料可预测性;其次通过基于90°相移地震数据的波形聚类和相控波形指示反演,刻画砂体横向和垂向发育特征,识别出岩性圈闭;最后开展基于多子波的频谱和频谱衰减分析,结合区带油气成藏规律,预测圈闭的含油气性。利用该技术识别岩性圈闭,部署滚动探井7口,完钻的3口井均钻遇多套薄层含油砂岩,表明该薄储层预测方法是解决双河油田周缘岩性油藏识别的有效手段。
Shuanghe Oilfield is an important reserve area and oil-producing area in the Biyang Depression.The main type of reservoir is a lithologic reservoir,but the thickness of the reservoir is thin,the phase change is fast,and the vertical resolution of seismic data is low,which restricts the discovery and implementation of lithologic traps.Combining geological models with seismic data interpretation technology,a set of“gradual control,gradual approximation”thin reservoir prediction method was explored and summarized.Firstly,based on forwarding simulation,the predictability of thin reservoir seismic data was clarified.Secondly,through waveform clustering based on 90°phase-shifted seismic data and waveform indication inversion,the lateral and vertical development characteristics of sand bodies were described,and the lithologic traps were identified.Finally,combined with the law of hydrocarbon accumulation in the zone,the frequency spectrum and frequency spectrum attenuation analyses based on multi-wavelet were carried out to predict the oil-bearing property of traps.Using this technique to identify lithologic traps,7 rolling exploration wells were deployed,of which 3 completed wells drilled multiple sets of thin oil-bearing sandstone,indicating that this thin-layer reservoir prediction method is an effective means to identify lithologic reservoirs in the periphery of Shuanghe Oilfield.
作者
熊健
马荣
杨卫琪
XIONG Jian;MA Rong;YANG Weiqi(Exploration and Development Research Institute of Henan Oilfield Company,SINOPEC,Zhengzhou 450000,China;Key Laboratory of Improving Oil Recovery in Henan Province,Zhengzhou 450000)
出处
《复杂油气藏》
2022年第2期32-40,共9页
Complex Hydrocarbon Reservoirs
基金
中国石化集团公司科技攻关项目“泌阳凹陷复杂储层精细评价与智能化预测研究”(P22524)。
关键词
岩性油藏
薄储层预测
含油气性
圈闭识别
双河油田
lithologic reservoir
thin reservoir prediction
oil-gas property
trap identification
Shuanghe Oilfield