[1]何新兵,刘 悝,李 龙,等.古地貌恢复与沉积体系演化耦合的岩性圈闭预测技术[J].华南地震,2026,46(04):176-184.[doi:10.13512/j.hndz.2026.04.20]
　HE Xinbing,LIU Kui,LI Long,et al.Lithologic Trap Prediction Technology Based on the Coupling of paleogeomorphology Restoration and Sedimentary System Evolution[J].,2026,46(04):176-184.[doi:10.13512/j.hndz.2026.04.20]
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古地貌恢复与沉积体系演化耦合的岩性圈闭预测技术()

华南地震[ISSN:1006-6977/CN:61-1281/TN]

卷:
46
期数:
2026年04期
页码:
176-184
栏目:
海洋地球物理
出版日期:
2026-07-09

文章信息/Info

Title:
Lithologic Trap Prediction Technology Based on the Coupling of paleogeomorphology Restoration and Sedimentary System Evolution
文章编号:
1001-8662（2026）04-0176-09
作者:
何新兵1; 2; 刘 悝3; 李 龙3; 庞 宏1; 常子敬1
1.中国石油大学（北京），北京 102249;2.贵州乌江页岩气勘探有限公司，贵州 遵义 563400;3.贵州页岩气勘探开发有限责任公司，贵州 遵义 563400
Author(s):
HE Xinbing1; 2; LIU Kui3; LI Long3; PANG Hong1; CHANG Zijing1
1.China University of Petroleum (Beijing), Beijing 102249, China;2.Guizhou Wujiang Shale Gas Exploration Co., Ltd., Zunyi 563400, China;3.Guizhou Shale Gas Exploration and Development Co., Ltd., Zunyi 563400, China
关键词:
古地貌恢复; 沉积体系演化; 岩性圈闭; 圈闭类型识别
Keywords:
Paleogeomorphology restoration;  Sedimentary system evolution;  Lithologic trap;  Trap type identification
分类号:
TE112
DOI:
10.13512/j.hndz.2026.04.20
文献标志码:
A
摘要:
古地貌是地质历史时期的地表形态，在构造运动的影响下能够改变沉积基准面，促进沉积体系的演化，从而加大了岩性圈闭的预测精度，为此，提出了古地貌恢复与沉积体系演化耦合的岩性圈闭预测技术。基于露头、测井、岩心资料和高分辨率地震资料以及古生物资料，计算地层剥蚀量与古水深，结合沉积相标志确定古地形海拔高度，借助地理信息系统重建古地貌，并结合自然伽马测井曲线的形态特征判断沉积相。利用地震面反射特征求取砂体各测点的振幅，将振幅最小的测点确定为砂体尖灭位置。采用贝叶斯网络构建判别模型，以此预测岩性圈闭的类型和规模。实验结果表明，利用设计的技术进行岩性圈闭预测，输出的圈闭类型系数高于0.7，圈闭规模皮尔逊相关系数高于0.9，具有较高的预测精度，研究成果有助于明确勘探目标，提高勘探效率。
Abstract:
Palaeogeomorphology is the surface morphology during the geological history periods. The influence of tectonic movement can change the sedimentary base level and promote the evolution of sedimentary system, thus in?creasing the prediction accuracy of lithologic traps. Therefore, this paper proposes a lithologic trap prediction tech?nology based on the coupling paleogeomorphology restoration and sedimentary system evolution. Based on outcrop, logging, core data, high-resolution seismic data and paleontological data, the stratigraphic denudation amount and paleo-water depth were calculated, and the elevation of paleo-topography was determined by combining sedimenta?ry facies markers. The paleogeomorphology was reconstructed by means of geographic information system, and the sedimentary facies were identified by combining the morphological characteristics of natural gamma logging curves.The amplitude of each measuring point of sand bodies was obtained by using the reflection characteristics of seismic surface, and the measuring points with the smallest amplitude were determined as the pinch-out position of sand bod?ies. Bayesian network was used to construct a discriminant model to predict the type and scale of lithologic traps. The experimental results show that the proposed technology achieves high prediction accuracy in lithologic trap pre?diction, with the output trap type coefficient above 0.7, and the Pearson correlation coefficient of trap scale exceed?ing 0.9. The research results are helpful to clarify the exploration targets and improve the exploration efficiency.

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备注/Memo

备注/Memo:
收稿日期：2025-10-21
基金项目：找矿突破战略行动重大协同创新项目（91520000214650279K）；黔科合战略找矿（[2022]ZD005）联合资助。
作者简介：何新兵（1980-），男，高级工程师，研究方向为非常规天然气勘探开发。E-mail: happy3652026@163.com
更新日期/Last Update: 2026-07-20