Sediment Compaction and Applications in Petroleum Geoscience
暫譯: 沉積物壓實及其在石油地球科學中的應用
Dasgupta, Troyee, Mukherjee, Soumyajit
- 出版商: Springer
- 出版日期: 2019-04-26
- 售價: $6,400
- 貴賓價: 9.5 折 $6,080
- 語言: 英文
- 頁數: 99
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3030134415
- ISBN-13: 9783030134419
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商品描述
This book discusses how sediments compact with depth and applications of the compaction trends. Porosity reduction in sediment conveniently indicates the degree of sediments compacted after deposition. Published empirical curves- the compaction curves- are depth-wise porosity variation through which change in pore spaces from sediment surface to deeper depths e.g. up to 6 km can be delineated. Porosity is derived from well logs. Compaction curves, referred to as the Normal Porosity Profile of shales, sandstones and shale bearing sandstones of different models are reviewed along with the different mechanical and chemical compaction processes. These compaction models reveals how porosity reduces depth-wise and the probable reason for anomalous zones. Deviation from these normal compaction trends may indicate abnormal pressure scenarios: either over- or under pressure. We highlight global examples of abnormal pressure scenarios along with the different primary- and secondary mechanisms. Well logs and cores being the direct measurements of porosity, well log is the only cost-effective way to determine porosity of subsurface rocks. Certain well logs can detect overpressure and the preference of one log above the other helps reduce the uncertainty. Apart from delineation of under-compacted zones by comparing the modeled- with the actual compaction, porosity data can also estimate erosion.
商品描述(中文翻譯)
本書討論沉積物隨深度壓實的情況及其應用。沉積物的孔隙度減少方便地指示沉積物在沉積後的壓實程度。已發表的經驗曲線——壓實曲線——是隨深度變化的孔隙度變化,通過這些曲線可以描繪從沉積物表面到更深層(例如,深達6公里)的孔隙空間變化。孔隙度是從井測資料中推導出來的。壓實曲線被稱為頁岩、砂岩及含頁岩砂岩的正常孔隙度剖面,並回顧了不同的機械和化學壓實過程。這些壓實模型揭示了孔隙度隨深度減少的情況及異常區域的可能原因。偏離這些正常壓實趨勢可能指示異常壓力情況:過壓或欠壓。我們強調了全球異常壓力情況的例子,以及不同的主要和次要機制。井測資料和岩心是孔隙度的直接測量,井測是確定地下岩石孔隙度的唯一具成本效益的方法。某些井測資料可以檢測過壓,而選擇某一種井測資料相對於其他資料的偏好有助於減少不確定性。除了通過比較模型壓實與實際壓實來描繪欠壓實區域外,孔隙度數據還可以用來估算侵蝕。