Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1155855

Automated approach to reservoir zonation: a case study from the Upper Permian Dalan (Khuff) carbonate ramp, Persian Gulf


Ghasemi, Mohammadfarid; Kakemem, Umid; Husinec, Antun
Automated approach to reservoir zonation: a case study from the Upper Permian Dalan (Khuff) carbonate ramp, Persian Gulf // Journal of Natural Gas Science and Engineering, 97 (2022), 104332, 13 doi:10.1016/j.jngse.2021.104332 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1155855 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Automated approach to reservoir zonation: a case study from the Upper Permian Dalan (Khuff) carbonate ramp, Persian Gulf

Autori
Ghasemi, Mohammadfarid ; Kakemem, Umid ; Husinec, Antun

Izvornik
Journal of Natural Gas Science and Engineering (1875-5100) 97 (2022); 104332, 13

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Automated Reservoir Zonation ; Reservoir Rock Clustering ; Hydraulic Flow unit ; Upper Dalan Gas Reservoir ; Offshore Iran

Sažetak
Reservoir zonation is one of the fundamental processes conducted on permeability-porosity core data to classify a reservoir thickness based on its productivity potential. In all the methods currently used, human decision plays a prominent role at every stage, from basic reservoir rock clustering to final flow zone determination. This study aims to reduce the often biased human decision-making role at each stage of the reservoir zonation by utilizing simple mathematical algorithms, and enhance the reservoir tock clustering approach. To do so, we propose the application of the elbow algorithm as a straightforward yet effective method to optimize the cluster numbers, and the Pruned Exact Linear Time (PELT) algorithm to effectively determine the zones with identical fluid flow potential (in this paper regarded as Hydraulic Flow Unit – HFU). Both the elbow and PELT algorithms are employed to effectively classify reservoir thickness based on the commonly used flow zone indicator (FZI), reservoir quality index (RQI), and flow unit speed (FUS). The efficiency of the suggested mathematical algorithms was tested against the results of the sedimentological and petrophysical study of the Upper Dalan (Khuff) gas reservoir, the Persian Gulf. Three lithofacies associations (sabkha and tidal flat, lagoon, and shoal) with 11 distinctive lithofacies plus crystalline dolomite have been identified and the major diagenetic processes influencing their petrophysical characteristics have been assessed. Based on the automated approach, the studied Upper Dalan succession can be subdivided into five HFUs with consistent poroperm values and distinct lithofacies and diagenetic modifications: barrier unit (HFU 1 ; permeability (k) <0.1 mD), baffle unit (HFU2-3 ; mean k <0.1 mD), normal unit (HFU4 ; k=10−100 mD, mean k 17 mD), permeable unit (HFU5-6 ; k=10−100 mD), and highly-permeable unit (HFU7 ; k >100 mD). The study suggests that the automated approach may be an effective alternative to a conventional reservoir zonation of similar mixed carbonate-evaporite reservoirs.

Izvorni jezik
Engleski

Znanstvena područja
Geologija, Geofizika, Rudarstvo, nafta i geološko inženjerstvo



POVEZANOST RADA


Profili:

Avatar Url Antun Husinec (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com www.researchgate.net

Citiraj ovu publikaciju:

Ghasemi, Mohammadfarid; Kakemem, Umid; Husinec, Antun
Automated approach to reservoir zonation: a case study from the Upper Permian Dalan (Khuff) carbonate ramp, Persian Gulf // Journal of Natural Gas Science and Engineering, 97 (2022), 104332, 13 doi:10.1016/j.jngse.2021.104332 (međunarodna recenzija, članak, znanstveni)
Ghasemi, M., Kakemem, U. & Husinec, A. (2022) Automated approach to reservoir zonation: a case study from the Upper Permian Dalan (Khuff) carbonate ramp, Persian Gulf. Journal of Natural Gas Science and Engineering, 97, 104332, 13 doi:10.1016/j.jngse.2021.104332.
@article{article, author = {Ghasemi, Mohammadfarid and Kakemem, Umid and Husinec, Antun}, year = {2022}, pages = {13}, DOI = {10.1016/j.jngse.2021.104332}, chapter = {104332}, keywords = {Automated Reservoir Zonation, Reservoir Rock Clustering, Hydraulic Flow unit, Upper Dalan Gas Reservoir, Offshore Iran}, journal = {Journal of Natural Gas Science and Engineering}, doi = {10.1016/j.jngse.2021.104332}, volume = {97}, issn = {1875-5100}, title = {Automated approach to reservoir zonation: a case study from the Upper Permian Dalan (Khuff) carbonate ramp, Persian Gulf}, keyword = {Automated Reservoir Zonation, Reservoir Rock Clustering, Hydraulic Flow unit, Upper Dalan Gas Reservoir, Offshore Iran}, chapternumber = {104332} }
@article{article, author = {Ghasemi, Mohammadfarid and Kakemem, Umid and Husinec, Antun}, year = {2022}, pages = {13}, DOI = {10.1016/j.jngse.2021.104332}, chapter = {104332}, keywords = {Automated Reservoir Zonation, Reservoir Rock Clustering, Hydraulic Flow unit, Upper Dalan Gas Reservoir, Offshore Iran}, journal = {Journal of Natural Gas Science and Engineering}, doi = {10.1016/j.jngse.2021.104332}, volume = {97}, issn = {1875-5100}, title = {Automated approach to reservoir zonation: a case study from the Upper Permian Dalan (Khuff) carbonate ramp, Persian Gulf}, keyword = {Automated Reservoir Zonation, Reservoir Rock Clustering, Hydraulic Flow unit, Upper Dalan Gas Reservoir, Offshore Iran}, chapternumber = {104332} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font