國立虎尾科技大學 |

Sediment Compaction and Applications in Petroleum Geoscience

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Sediment Compaction and Applications in Petroleum Geoscience/ by Troyee Dasgupta, Soumyajit Mukherjee.
作者:	Dasgupta, Troyee.
其他作者:	Mukherjee, Soumyajit.
面頁冊數:	XXIII, 99 p. 87 illus., 46 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Geotechnical Engineering & Applied Earth Sciences. -
電子資源:	https://doi.org/10.1007/978-3-030-13442-6
ISBN:	9783030134426

Sediment Compaction and Applications in Petroleum Geoscience
Dasgupta, Troyee.

Sediment Compaction and Applications in Petroleum Geoscience[electronic resource] /by Troyee Dasgupta, Soumyajit Mukherjee. - 1st ed. 2020. - XXIII, 99 p. 87 illus., 46 illus. in color.online resource. - Advances in Oil and Gas Exploration & Production,2509-372X. - Advances in Oil and Gas Exploration & Production,.

Porosity development in siliclastic rocks.-Porosity development in Carbonate rocks -- Compaction Trend definition and classification -- Well logs, Seismic and Geological data in porosity and compaction trend analyses -- Deviation of normal compaction trend in relation to pore pressure -- Global examples of overpressure scenarios -- Exhumation history analysis from sonic compaction trend -- Impact of compaction trend in different tectonic- and geological setting -- Application of Porosity and compaction trend in Petroleum geoscience -- Summary.

This book discusses how sediments compact with depth and 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 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 help reduce the uncertainty. Apart from delineation of under-compacted zones by comparing the modeled- with the actual compaction, porosity data can also estimate erosion.

ISBN: 9783030134426

Standard No.: 10.1007/978-3-030-13442-6doiSubjects--Topical Terms:

815187
Geotechnical Engineering & Applied Earth Sciences.

LC Class. No.: QE471-471.15

Dewey Class. No.: 551.3

Sediment Compaction and Applications in Petroleum Geoscience
LDR:03437nam a22004095i 4500 001 1027043
003 DE-He213
005 20201119202437.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030134426 $9 978-3-030-13442-6
024 7 $a 10.1007/978-3-030-13442-6 $2 doi
035 $a 978-3-030-13442-6
050 4 $a QE471-471.15
072 7 $a RBGB $2 bicssc
072 7 $a SCI091000 $2 bisacsh
072 7 $a RBGB $2 thema
082 0 4 $a 551.3 $2 23
100 1 $a Dasgupta, Troyee. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1323426
245 1 0 $a Sediment Compaction and Applications in Petroleum Geoscience $h [electronic resource] / $c by Troyee Dasgupta, Soumyajit Mukherjee.
250 $a 1st ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XXIII, 99 p. 87 illus., 46 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Advances in Oil and Gas Exploration & Production, $x 2509-372X
505 0 $a Porosity development in siliclastic rocks.-Porosity development in Carbonate rocks -- Compaction Trend definition and classification -- Well logs, Seismic and Geological data in porosity and compaction trend analyses -- Deviation of normal compaction trend in relation to pore pressure -- Global examples of overpressure scenarios -- Exhumation history analysis from sonic compaction trend -- Impact of compaction trend in different tectonic- and geological setting -- Application of Porosity and compaction trend in Petroleum geoscience -- Summary.
520 $a This book discusses how sediments compact with depth and 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 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 help reduce the uncertainty. Apart from delineation of under-compacted zones by comparing the modeled- with the actual compaction, porosity data can also estimate erosion.
650 2 4 $a Geotechnical Engineering & Applied Earth Sciences. $3 815187
650 2 4 $a Quantitative Geology. $3 682376
650 2 4 $a Structural Geology. $3 670599
650 0 $a Geotechnical engineering. $3 1024219
650 0 $a Geology—Statistical methods. $3 1254867
650 0 $a Structural geology. $3 682255
650 0 $a Sedimentology. $3 670380
700 1 $a Mukherjee, Soumyajit. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1020937
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030134419
776 0 8 $i Printed edition: $z 9783030134433
776 0 8 $i Printed edition: $z 9783030134440
830 0 $a Advances in Oil and Gas Exploration & Production, $x 2509-372X $3 1286784
856 4 0 $u https://doi.org/10.1007/978-3-030-13442-6
912 $a ZDB-2-EES
912 $a ZDB-2-SXEE
950 $a Earth and Environmental Science (SpringerNature-11646)
950 $a Earth and Environmental Science (R0) (SpringerNature-43711)