Utilizing Tuning/AVO Phenomena to Predict Oil Column Height in the Tui, Amokura and Pateke Fields, New Zealand

地质学 油田 反射(计算机编程) 振幅与偏移
作者
Balakrishnan Kunjan,Leigh Brooks,James Shadlow,Eric Matthews,Naomi Osman
出处
期刊:Exploration Geophysics [Taylor & Francis]
卷期号:2007 (1): 1-6
标识
DOI:10.1071/aseg2007ab070
摘要

A combined tuning/AVO model was used to predict the oil column height for the Tui, Amokura and Pateke fields in the offshore Taranaki Basin, New Zealand. The Palaeocene aged Kapuni F10 reservoir sands occur at a depth of approximately 3700 mSS. The closure height and areal extents of these fields were initially mapped by converting time structure maps to depth using average velocities derived from stacking velocities. However, the traps at Tui are broad low relief features, extending up to 4 km laterally but with only limited vertical relief. This geometry means that even very small velocity variations have a significant impact on the location and extent of closure. Weak amplitude anomalies had been noted on the fields and a study was undertaken to review the tuning and AVO behaviour of the rocks in an attempt to understand the anomalies. Vp, Vs and density logs from the Tui-1 and Amokura-1 exploration wells showed that it was possible to map oil column heights using amplitudes extracted from the F10 sand seismic horizon. This modelling predicted an oil column height of 20 m at the crest of the Tui structure prior to the drilling of development well Tui-2H. In the same area a column height of about 10 m was predicted using the average velocity based depth maps. Drilling results showed a maximum column height of 21 m, confirming the validity of the modelling. This result led to the change in the direction of the next well Tui-3H. Four horizontal development wells have been successfully drilled with total estimated gross 2P reserves of 32 MMBO.

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
害羞的夏柳完成签到,获得积分10
2秒前
充电宝应助科研通管家采纳,获得10
2秒前
上官若男应助科研通管家采纳,获得10
3秒前
丘比特应助科研通管家采纳,获得10
3秒前
星辰大海应助科研通管家采纳,获得10
3秒前
3秒前
小蘑菇应助科研通管家采纳,获得10
3秒前
张欢馨应助科研通管家采纳,获得10
3秒前
3秒前
在水一方应助科研通管家采纳,获得10
3秒前
乐空思应助科研通管家采纳,获得20
3秒前
Hello应助科研通管家采纳,获得10
3秒前
张欢馨应助科研通管家采纳,获得10
3秒前
小蘑菇应助科研通管家采纳,获得10
3秒前
大个应助科研通管家采纳,获得10
3秒前
Akim应助Luuuu采纳,获得10
4秒前
lfc发布了新的文献求助10
4秒前
Yancy完成签到,获得积分10
5秒前
6秒前
薯薯发布了新的文献求助10
7秒前
Mia应助傻子采纳,获得30
8秒前
欢喜的夜天完成签到,获得积分10
9秒前
万能图书馆应助11采纳,获得10
9秒前
认真生活完成签到,获得积分10
9秒前
科研通AI6.3应助123采纳,获得10
9秒前
9秒前
10秒前
不爱学习完成签到 ,获得积分10
11秒前
adrianwu发布了新的文献求助10
11秒前
Jiayi发布了新的文献求助10
13秒前
小白发布了新的文献求助10
13秒前
汉堡包应助落后的蚂蚁采纳,获得10
15秒前
快乐的寄容完成签到 ,获得积分10
15秒前
17秒前
科研通AI6.4应助123采纳,获得10
18秒前
19秒前
20秒前
研友_VZG7GZ应助澳bobo采纳,获得10
20秒前
21秒前
lfc完成签到,获得积分10
21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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 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 6349464
求助须知:如何正确求助?哪些是违规求助? 8164388
关于积分的说明 17178295
捐赠科研通 5405772
什么是DOI,文献DOI怎么找? 2862277
邀请新用户注册赠送积分活动 1839940
关于科研通互助平台的介绍 1689142