Paleogeography and Paleo-Earth Systems in the Modeling of Marine Paleoproductivity: A Prerequisite for the Prediction of Petroleum Source Rocks

地质学 古地理学 地球系统科学 古气候学 地球科学 古生物学 大洋盆地 构造学 海洋学 气候变化 火山作用
作者
J. Arthur Harris,Alexandra Ashley,Simon Otto,Rob Crossley,Ros Preston,John Watson,Mike Goodrich,Paul J. Valdes
标识
DOI:10.1306/13602024m1143700
摘要

Abstract Mapping the distribution of productivity in ancient seas is a fundamental requirement for predicting the lateral variation in source rock quality, one of the main uncertainties for exploration in frontier basins, and is also required in the modeling of the carbon cycle in deep time. To construct a predictive tool designed to address this problem, a multifaceted approach based on paleogeographic mapping integrated with Earth-systems modeling has been devised and applied for a series of 18 time slices from the Early Paleozoic to Recent. Plate Wizard™ reconstructions were used as the basis for global paleogeographic mapping. Detailed paleotectonic and paleoenvironment maps were prepared using a global database of paleoenvironmental and lithofacies data compiled for this project. A novel method relating topography and bathymetry to plate tectonic environments was used in the construction of paleo digital elevation models (DEMs), and these DEMs were coupled with state-of-the-art paleo-Earth systems models (UK Meteorological Office HadCM3 paleoclimate model) run specifically for this project. The database also included climate proxies that were used to test the veracity of modeling results. Both upwelling and storms are major factors in the supply of nutrients to the photic zone, and low light levels are a significant seasonal limit on primary productivity, particularly at high latitudes. Each of these elements of the predictive model was derived from the HadCM3 model output. This approach also provides an understanding of paleogeographic and paleoclimatic geohistory that includes drainage basin evolution.

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
CodeCraft应助科研小白采纳,获得10
刚刚
迷人的天抒完成签到,获得积分10
2秒前
科研girl应助王书妍采纳,获得10
2秒前
lu发布了新的文献求助10
3秒前
NexusExplorer应助chi采纳,获得10
4秒前
腼腆的乘云完成签到,获得积分10
4秒前
6秒前
任性的冰露完成签到 ,获得积分10
6秒前
lilei2019完成签到,获得积分20
7秒前
慈祥的烧鹅关注了科研通微信公众号
9秒前
顾矜应助瑜衡采纳,获得10
9秒前
褚呦发布了新的文献求助10
12秒前
牛哥还是强啊完成签到 ,获得积分10
12秒前
13秒前
14秒前
mxy126354发布了新的文献求助10
14秒前
情怀应助小四喜采纳,获得10
15秒前
舒心元芹发布了新的文献求助10
16秒前
CACT完成签到,获得积分10
16秒前
17秒前
17秒前
英姑应助haki采纳,获得10
19秒前
从容易云发布了新的文献求助10
20秒前
Serena完成签到 ,获得积分10
21秒前
兴奋黑米发布了新的文献求助10
21秒前
milv5完成签到,获得积分10
21秒前
21秒前
科研通AI6.4应助炙热灰狼采纳,获得20
22秒前
不错吧完成签到,获得积分10
22秒前
25秒前
王虎彪发布了新的文献求助10
26秒前
27秒前
lizishu应助尊敬的灰狼采纳,获得10
27秒前
chi发布了新的文献求助10
30秒前
yulong完成签到,获得积分10
30秒前
香蕉觅云应助慈祥的烧鹅采纳,获得10
31秒前
科研通AI6.4应助聪明采白采纳,获得10
34秒前
瑜衡发布了新的文献求助10
34秒前
35秒前
哈哈诈胡完成签到 ,获得积分10
35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
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Mass participant sport event brand associations: an analysis of two event categories 500
Photodetectors: From Ultraviolet to Infrared 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 6354716
求助须知:如何正确求助?哪些是违规求助? 8169877
关于积分的说明 17198138
捐赠科研通 5410728
什么是DOI,文献DOI怎么找? 2864124
邀请新用户注册赠送积分活动 1841629
关于科研通互助平台的介绍 1690086