Prediction of Permian karst reservoirs in the Yuanba gas field, northern Sichuan Basin, China

地质学 喀斯特 地貌学 岩性 沉积沉积环境 背斜 天然气田 天坑 碳酸盐岩 构造盆地 沉积岩 地球化学 古生物学 化学 有机化学 天然气
作者
Yuxin Hao,Rebecca Bell,Ying Rao,Rui Fan,Yanghua Wang
出处
期刊:Marine and Petroleum Geology [Elsevier BV]
卷期号:154: 106319-106319 被引量:1
标识
DOI:10.1016/j.marpetgeo.2023.106319
摘要

Karst reservoir has great hydrocarbon potential, however karst reservoir prediction is inhibited by the strong lateral and vertical heterogeneity of karstification which in turn results in recognition difficulty when geological and geophysical methods are used in isolation. Combined geological and geophysical methods, including core observation, thin section analysis, well log interpretation, seismic attributes and seismic inversion are applied to understand the depositional environment, types of karstification, the geophysical response and distribution of karst reservoir and the controls over and evolution model of karst reservoir in Permian Yuanba gas field, northern Sichuan Basin. The results show that there are four types of major seismic facies recognized in the study area, which correspond to platform margin reef, carbonate platform, platform margin inter-bay and platform margin slope. Karstification can be divided into 3 zones: the supergene karst zone, the vertical seepage zone and the horizontal underflow zone, among which the supergene karst zone have the strongest karstification. Karstification is highlighted with low seismic impedance, low Poisson's ratio, and high seismic attenuation on seismic inversion as well as micro scale paleo geomorphology recognized by trend surface analysis. By comparing the distribution of karstification with paleo geomorphology, fault distribution and gas contents, it can be observed that the karstification have a good matching relationship with these factors. The dominant type of karstification is epigenic karst, which is strongly influenced by depositional facies and paleo geomorphology. Fracture networks have contributed to karstification but are not the dominant factor of karst formation. The integration of geological and geophysical methods can predict karst reservoir with high accuracy within large area and can be applied to karst reservoir hydrocarbon exploration of similar geological setting.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
cx发布了新的文献求助10
1秒前
wangxiaoli0991完成签到 ,获得积分10
1秒前
小秦完成签到,获得积分10
2秒前
2秒前
2秒前
2秒前
blackcatcaptain完成签到,获得积分10
3秒前
辛勤的涵柏完成签到,获得积分10
3秒前
3秒前
sanapri完成签到,获得积分10
4秒前
yu发布了新的文献求助10
4秒前
4秒前
美丽觅夏完成签到,获得积分10
5秒前
活力的惜萱应助小宝采纳,获得10
6秒前
Breeze完成签到 ,获得积分10
6秒前
7秒前
张张张张发布了新的文献求助10
8秒前
8秒前
9秒前
可乐鸡翅发布了新的文献求助10
9秒前
Aqian完成签到,获得积分10
10秒前
flymove完成签到,获得积分10
10秒前
wanci应助77777采纳,获得10
11秒前
11秒前
11秒前
aurevoir完成签到,获得积分10
11秒前
LIN完成签到,获得积分10
11秒前
微笑的可乐完成签到,获得积分20
12秒前
13秒前
DY_5354完成签到,获得积分10
13秒前
科隆龙发布了新的文献求助10
14秒前
豆豆发布了新的文献求助10
14秒前
杭向彤鸭完成签到,获得积分10
14秒前
14秒前
15秒前
15秒前
科研菜鸟发布了新的文献求助10
16秒前
89哥发布了新的文献求助10
16秒前
satchzhao完成签到,获得积分10
16秒前
珍妮完成签到 ,获得积分10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Adhesion Science: Principles & Practice 800
The Graphene Handbook (2019 Edition) 700
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
Fundamentals of Modern Mathematics: A Practical Review (Dover Books on Mathematics) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6532250
求助须知:如何正确求助?哪些是违规求助? 8325147
关于积分的说明 17827663
捐赠科研通 5633576
什么是DOI,文献DOI怎么找? 2933093
邀请新用户注册赠送积分活动 1909697
关于科研通互助平台的介绍 1768686