Quantitative characterization of unconventional (tight) hydrocarbon reservoir by integrating rock physics analysis and seismic inversion: a case study from the Lower Indus Basin of Pakistan

Talib, Maryam; Durrani, Muhammad Zahid Afzal; Palekar, Arshad Hussain; Sarosh, Bakhtawer; Rahman, Syed Atif

doi:10.1007/s11600-022-00885-6

Artykuł - szczegóły

Tytuł artykułu

Quantitative characterization of unconventional (tight) hydrocarbon reservoir by integrating rock physics analysis and seismic inversion: a case study from the Lower Indus Basin of Pakistan

Autorzy

Talib Maryam , Durrani Muhammad Zahid Afzal , Palekar Arshad Hussain , Sarosh Bakhtawer , Rahman Syed Atif

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-022-00885-6

Warianty tytułu

Języki publikacji

Abstrakty

The paper demonstrates a successful application of Bayesian classification method to accurately predict petrophysical properties and lithofacies classification in the deep unconventional (tight gas) hydrocarbon resource potential of early Cretaceous in the Lower Indus Basin of Pakistan. To explore the true potential for exploration and development phases, we quantitatively characterized the tight gas reservoir based on an integrated methodology using the Bayesian approach constraint with rock physics analysis which utilized deterministic petrophysical results from a well information to extract the desired lithofacies at seismic scale. The employed methodology relied on stepwise sequential integration of all available data through petrophysical, rock physics analysis and seismic inversion technique. Simultaneous inversion approach is used to invert elastic properties for reservoir interpretation. Seismic-based petrophysical properties are predicted using regression analysis by establishing a functional relationship between well logs for Sembar formation. The rock physics template (acoustic impedance versus Vs/ Vs ratio) model helped to differentiate lithological units of sand and shale in the well. Three lithofacies (HC sands, shale and shalier sand) are properly classified in rock physics template, and their probabilities are accurately defined using Bayes’ theorem. Finally, estimated lithofacies and hydrocarbon probability map from the Bayesian approach are meticulously validated from well data. The quantitative seismic reservoir characterization study provided important support for the unconventional prospect evaluation and hydrocarbon reserve estimations necessary to delineate unexplored parts which could prove helpful in effectively planning for the horizontal well placement and optimal reservoir development.

Słowa kluczowe

Bayes theorem petrophysical properties lithofacies prediction tight sandstone rock physics analysis pre-stack simultaneous inversion

twierdzenie Bayesa właściwości petrofizyczne przewidywanie litofacji

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2022

Tom

Vol. 70, no 6

Strony

2715--2731

Opis fizyczny

Bibliogr. 58 poz.

Twórcy

autor

Talib Maryam

Pakistan Petroleum Limited (PPL), 3rd foor, PIDC House, Dr. Ziauddin Ahmed Road, Karachi, Pakistan

autor

Durrani Muhammad Zahid Afzal

m_durrani@ppl.com.pk

Pakistan Petroleum Limited (PPL), 3rd foor, PIDC House, Dr. Ziauddin Ahmed Road, Karachi, Pakistan

https://orcid.org/0000-0002-8294-8596

autor

Palekar Arshad Hussain

Pakistan Petroleum Limited (PPL), 3rd foor, PIDC House, Dr. Ziauddin Ahmed Road, Karachi, Pakistan

autor

Sarosh Bakhtawer

Pakistan Petroleum Limited (PPL), 3rd foor, PIDC House, Dr. Ziauddin Ahmed Road, Karachi, Pakistan

autor

Rahman Syed Atif

Pakistan Petroleum Limited (PPL), 3rd foor, PIDC House, Dr. Ziauddin Ahmed Road, Karachi, Pakistan

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-01847a87-b66e-4b98-a353-244600f9572d