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020 _a9780367254407
024 7 _a10.1201/9780429287800
_2doi
035 _a(OCoLC)1191465418
040 _aOCoLC-P
_beng
_cEG-NcFUE
_dUtOrBLW
050 4 _aTP752
082 0 4 _a620.107 U.G.O
_223
100 1 _aUṇṇikr̥ṣṇan, Ji.,
_d1944-
_eauthor.
_0http://id.loc.gov/authorities/names/no97025536
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aOil and gas processing equipment :
_brisk assessment with Bayesian networks /
_cG. Unnikrishnan.
250 _aFirst edition.
264 1 _aBoca Raton :
_bCRC Press,
_c2021.
300 _a138 pages :
_bIllustrations ;
_c23 cm
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aOil and gas industries apply several techniques for assessing and mitigating the risks that are inherent in its operations. In this context, the application of Bayesian Networks (BNs) to risk assessment offers a different probabilistic version of causal reasoning. Introducing probabilistic nature of hazards, conditional probability and Bayesian thinking, it discusses how cause and effect of process hazards can be modelled using BNs and development of large BNs from basic building blocks. Focus is on development of BNs for typical equipment in industry including accident case studies and its usage along with other conventional risk assessment methods. Aimed at professionals in oil and gas industry, safety engineering, risk assessment, this book Brings together basics of Bayesian theory, Bayesian Networks and applications of the same to process safety hazards and risk assessment in the oil and gas industry Presents sequence of steps for setting up the model, populating the model with data and simulating the model for practical cases in a systematic manner Includes a comprehensive list on sources of failure data and tips on modelling and simulation of large and complex networks Presents modelling and simulation of loss of containment of actual equipment in oil and gas industry such as Separator, Storage tanks, Pipeline, Compressor and risk assessments Discusses case studies to demonstrate the practicability of use of Bayesian Network in routine risk assessments
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aGas manufacture and works
_xRisk assessment
_xMathematics.
650 0 _aPetroleum refineries
_xRisk assessment
_xMathematics.
650 0 _aGas manufacture and works
_xEquipment and supplies
_xSafety measures
_xMathematics.
650 0 _aPetroleum refineries
_xEquipment and supplies
_xSafety measures
_xMathematics.
650 0 _aBayesian statistical decision theory.
_0http://id.loc.gov/authorities/subjects/sh85012506
650 7 _aTECHNOLOGY / Petroleum.
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://ezaccess.libraries.psu.edu/login?url=https://www.taylorfrancis.com/books/9780429287800
856 4 2 _3OCLC metadata license agreement
_ahttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _2ddc
_cBK
949 _aElectronic resource
_wASIS
_mONLINE
_kONLINE
_lONLINE
_oTaylor & Francis ALL records from T&F 20250124
_rY
_sY
_tONLINE
999 _c13332
_d13332