已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

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 有机化学 天然气 化学
作者
Yuxin Hao,Rebecca Bell,Ying Rao,Rui Fan,Yanghua Wang
出处
期刊:Marine and Petroleum Geology [Elsevier]
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
大模型应助Ruby采纳,获得10
1秒前
1秒前
3秒前
绿色猫猫头完成签到 ,获得积分10
5秒前
Jasper应助fang采纳,获得10
6秒前
小蓝发布了新的文献求助10
7秒前
星辰大海应助Uranus采纳,获得10
7秒前
summer不吃蛋黄完成签到 ,获得积分10
10秒前
共享精神应助Nature采纳,获得10
10秒前
个性的迎蓉完成签到,获得积分10
11秒前
彤光赫显完成签到,获得积分10
16秒前
黎L完成签到,获得积分10
17秒前
重要青柏完成签到,获得积分20
18秒前
喂我完成签到 ,获得积分10
18秒前
研友_VZG7GZ应助江大橘采纳,获得10
21秒前
Uranus完成签到,获得积分10
21秒前
李昆朋完成签到,获得积分10
22秒前
盛事不朽完成签到 ,获得积分10
22秒前
23秒前
23秒前
ztayx完成签到 ,获得积分10
24秒前
自然函发布了新的文献求助10
27秒前
yicui发布了新的文献求助10
28秒前
28秒前
28秒前
甜美坤完成签到 ,获得积分10
29秒前
华仔应助Nemo采纳,获得10
31秒前
Orange应助科研通管家采纳,获得10
33秒前
Tanya47应助科研通管家采纳,获得10
33秒前
CodeCraft应助科研通管家采纳,获得10
33秒前
33秒前
李健应助hahaha123采纳,获得10
33秒前
温暖伟祺完成签到,获得积分10
33秒前
科研通AI6应助yicui采纳,获得30
34秒前
35秒前
晴子发布了新的文献求助10
35秒前
整齐的蜻蜓完成签到 ,获得积分10
36秒前
38秒前
lyy完成签到 ,获得积分10
38秒前
堡主发布了新的文献求助10
39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
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5663955
求助须知:如何正确求助?哪些是违规求助? 4855366
关于积分的说明 15106647
捐赠科研通 4822329
什么是DOI,文献DOI怎么找? 2581405
邀请新用户注册赠送积分活动 1535540
关于科研通互助平台的介绍 1493816