›› 2015, Vol. 36 ›› Issue (3): 1-1.doi: 10.7657/XJPG20150319

• 论文 •    

地震沉积学在生物礁滩体识别中的应用

刘 玲1,王 烽2,刘玉霞3   

  1. (1.中国地质大学 能源学院,北京 100083;2.中国石化 勘探开发研究院,北京 100083;3.北京诺克斯达石油科技有限公司,北京100192)
  • 出版日期:2019-01-01 发布日期:1905-07-13

Application of Seismic Sedimentology to Organic ReefBank Body Identification in Y District

LIU Ling1, WANG Feng2, LIU Yuxia3   

  1. (1.School of Energy Resource, China University of Geosciences, Beijing100083, China;2. Research Institute of Petroleum Exploration and Development, Sinopec, Beijing100083, China;3. Rockstar Petroleum Science and Technology Limited Company, Beijing100192, China)
  • Online:2019-01-01 Published:1905-07-13

摘要: 地震沉积学充分利用地震资料的横向分辨率进行等时地层单元内平面沉积相的预测,适用于在反射特征不明显的地震剖面上进行岩性解释。针对研究区生物礁滩体埋深大、地震资料分辨率较低、剖面反射特征不明显,以地震沉积学为指导,利用分频数据体,在古地貌的控制下进行属性的优选,实现生物礁滩体的定性刻画;利用双面解释技术,将平面上解释出来的生物礁滩体投影到地震剖面上进行验证,以减少地质体解释的多解性,提高储集层预测的精度;而后利用不基于模型的有色反演技术,定量预测生物礁滩储集层的厚度,最终形成了一套预测生物礁滩型碳酸盐岩储集层的方法体系。

Abstract: Seismic sedimentology is applicable for prediction of plane sedimentary facies in isochronal element by means of seismic lateral resolution. It is applied to lithologic interpretation of the seismic profile without obvious characteristic changes. Y district is characterized by big buried depth of organic reef?bank body, low resolution of seismic data, not obvious reflection characteristics in the seismic profile. With the guidance of seismic sedimentology, this paper optimized the seismic attributes under the control of paleogeomorphology by using spectral decomposition data, qualitatively characterized the scale and boundary of the organic reef?bank body; and using double?plane interpretation method, verified the interpreted reef?bank body in which the plane attributes were projected on the seismic profile, thus largely reducing the multiplicity of solutions of geological bodies and improving the prediction precision of the reservoirs. Finally, by using colored inversion technique which does not depend on any model, the reef?bank reservoir’s thickness can be quantitatively predicted, and a set of technologies for prediction of organic reef?bank carbonate reservoirs is then established in this paper

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