石油与天然气地质 ›› 2023, Vol. 44 ›› Issue (1): 203-212.doi: 10.11743/ogg20230117
• 方法技术 • 上一篇
段太忠1(), 张文彪1, 何治亮2(), 刘彦锋1, 马琦琦1, 李蒙1, 廉培庆1, 黄渊1
收稿日期:
2022-05-31
修回日期:
2022-11-11
出版日期:
2023-02-01
发布日期:
2023-01-13
通讯作者:
何治亮
E-mail:duantz.syky@sinopec.com;hezhiliang@sinopec.com
第一作者简介:
段太忠(1961—),男,博士、教授,油气田开发地质。E-mail: 基金项目:
Taizhong DUAN1(), Wenbiao ZHANG1, Zhiliang HE2(), Yanfeng LIU1, Qiqi MA1, Meng LI1, Peiqing LIAN1, Yuan HUANG1
Received:
2022-05-31
Revised:
2022-11-11
Online:
2023-02-01
Published:
2023-01-13
Contact:
Zhiliang HE
E-mail:duantz.syky@sinopec.com;hezhiliang@sinopec.com
摘要:
断控缝洞型储层是分布在中国塔里木盆地奥陶系的一种特殊类型储层,具有埋藏深、成因复杂、非均质性强等特点,受限于井资料稀疏和地震品质低等因素,断控缝洞型储层的准确表征与精细建模面临重要挑战。综合钻测井、岩心、野外露头及三维地震信息,在断控缝洞型储层构型模式指导下,构建了断溶体深度学习训练样本;在深度学习网络综合分析基础上,提出了适用于深层断溶体的深度学习建模方法。研究结果表明:深层少井资料条件下,基于多源数据综合建立的“原位等尺度”训练样本是断溶体深度学习建模的基础;优选的地质体目标图像转换网络可以较好地实现从地震数据到断溶体储层的直接预测。在训练网络搭建基础上,建立了塔里木盆地顺北油田5号断裂带南段的断溶体储层三维模型,该模型多维度符合断控岩溶地质模式及分布规律,与基于钻井资料的储层预测符合率较高。提升断溶体深度学习地质建模的精度和条件化程度是未来的努力攻关方向之一。
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