井震结合储层预测技术的适应性研究

Adaptability of Seismic Reservoir Prediction Technology by Combination of Logging and Seism

地震储层预测技术包括地震属性和地震反演2大类,目前2种技术适用的储层条件尚不明确,造成井间储层预测过程中没有固定标准。对于储层预测成果可信度的判别仍多为后验证,采用与已知井点信息比对的方式,由于预留后验井数量限制,地震成果资料检测不足,应用中容易出现预测失误。对萨北开发区28个连续的沉积单元开展地震储层预测后的符合率验证,结合储层地质特征,建立地震预测能力与地质条件的相互关系,评价地震技术的适应性。评价结果显示,地震属性适合3m以上砂岩和厚层泥岩预测,地震反演主要能够提高薄层砂岩预测能力;各单元预测符合率的高低取决于单元所处的沉积旋回位置以及储层特征;同一沉积单元内部不同位置地震预测能力仍存在差别。应用层次控制微相优化组合方法可以进行地震预测成果真实性预判,对沉积单元、储层位置、砂体类型进行预测,加深了研究区的地质认识程度。配合井震动静结合措施优选指导研究区开发实践,达到剩余油挖潜的目的。

Seismic reservoir prediction techniques included seismic attribute prediction and seismic inversion,at present,the reservoir conditions for the two technologies were not clear.As a result,there was no fixed standard in the process of interwell reservoir prediction,and the identification of the reliability of reservoir prediction results was still post-validation.In the way of comparing the information with known well points,due to the limited number of reserved post-test wells,the detection of seismic results was insufficient,and it was easy to make mistakes in prediction in application.The coincidence rate of seismic reservoir prediction was verified for 28 successive sedimentary units in Sabei Development Zone,combined with reservoir geological characteristics,the relationship between seismic prediction ability and geological conditions was established,and the adaptability of seismic technology was evaluated.The evaluation results showed that seismic attribute was suitable for predicting more than 3m thick sandstone and mudstone layers,the seismic inversion was used mainly for improving the prediction ability of thin sandstones.The predicted coincidence rate of each unit depended on the depositional cycle and the reservoir characteristics,there were still differences in earthquake prediction ability in different locations within the same sedimentary unit.The evaluation method can be used to predict the authenticity of seismic prediction results,predict sedimentary units,reservoir location,sand body types,deepen the geological understanding of the study area,and combined with dynamic and static measures for optimized selection.The aim of tapping the remaining oil potential is achieved.