The Global Oil System: The Relationship Between Oil Generation, Loss, Half-Life, and the World Crude Oil Resource: DISCUSSION

地质学 资源(消歧) 化石燃料 石油工程 原油 自然资源经济学 废物管理 工程类 经济 计算机网络 计算机科学
作者
R. R. Charpentier G. F. Ulmishek
出处
期刊:AAPG Bulletin [AAPG/Datapages]
卷期号:77 被引量:12
标识
DOI:10.1306/bdff8d94-1718-11d7-8645000102c1865d
摘要

The global oil system is dynamic, with fundamental parameters of volume, time, and flux rate. With certain geological assumptions, these parameters are mathematically linked by the equation, half-life = (0.693 x volume)/filling rate. Reservoired conventional oil has a well-defined half-life of 29 m.y., derived from the distribution of oil generation ages. The global oil reserve is therefore directly related to the global filling rate of reservoirs. If the global system is in equilibrium, then the reservoir filling rate cannot be less than the rate at which reservoirs seep (i.e., leak to surface). Both filling and leaking parameters are poorly constrained. Total global oil generation is estimated to be about 2.7 million bbl/yr. Surface seepage data suggest that at least 0.8 million bbl/yr of this enters reservoirs, the remainder escaping directly to surface without being trapped. This seepage rate cannot be supported under equilibrium conditions by global oil reserves of the size commonly supposed. The seepage rate implies global crude oil reserves of at least 4 trillion bbl, whereas typical current estimates based upon geological analogs are 2 trillion bbl, excluding tar sands. Either (1) the global oil system is out of equilibr um, and reservoirs are draining faster than they fill, or (2) seepage rates are lower than supposed, or (3) most seepage is due to active generation and migration straight to surface, rather than leaking reservoirs, or (4) ultimate recoverable reserves are much greater than previously thought.

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
1秒前
斯内克完成签到,获得积分10
1秒前
1秒前
Ava应助白一寒采纳,获得10
1秒前
柒八染发布了新的文献求助10
2秒前
2秒前
顺心煎蛋发布了新的文献求助10
3秒前
椛鈊发布了新的文献求助10
3秒前
孤独凝海完成签到,获得积分20
3秒前
Ava应助小寒同学采纳,获得10
5秒前
5秒前
英吉利25发布了新的文献求助10
5秒前
www发布了新的文献求助10
5秒前
852应助pgg147852采纳,获得10
6秒前
nut发布了新的文献求助10
6秒前
LW发布了新的文献求助10
7秒前
健壮的弼完成签到,获得积分10
8秒前
兰闹儿发布了新的文献求助10
8秒前
111发布了新的文献求助10
8秒前
科研通AI6应助Starrrrre采纳,获得10
8秒前
哈哈鹿发布了新的文献求助10
8秒前
鲤鱼孤兰完成签到,获得积分10
9秒前
李健的小迷弟应助杨仔采纳,获得10
9秒前
10秒前
10秒前
11秒前
lucy完成签到,获得积分10
11秒前
11秒前
顺心煎蛋完成签到,获得积分10
11秒前
12秒前
13秒前
三三得九完成签到 ,获得积分10
15秒前
小蜗牛发布了新的文献求助10
15秒前
15秒前
锦慜发布了新的文献求助10
15秒前
Mi_Manchi发布了新的文献求助10
15秒前
16秒前
科研通AI6应助claudefatum采纳,获得10
16秒前
zz驳回了YINGYAN应助
16秒前
17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 6000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
The Political Psychology of Citizens in Rising China 800
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
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 5637646
求助须知:如何正确求助?哪些是违规求助? 4743795
关于积分的说明 14999969
捐赠科研通 4795812
什么是DOI,文献DOI怎么找? 2562208
邀请新用户注册赠送积分活动 1521661
关于科研通互助平台的介绍 1481646