eprintid: 19341
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/93/41
datestamp: 2024-06-04 14:11:48
lastmod: 2024-06-04 14:11:48
status_changed: 2024-06-04 14:05:30
type: conference_item
metadata_visibility: show
creators_name: Soto, G.J.
creators_name: Latiff, A.H.A.
creators_name: Habel, W.B.
creators_name: Poppelreiter, M.
title: Integrated Multiscale Carbonate Rock Types Prediction Using Multiscale Data and Kohonen Self-Organising Maps in E11 Field, Central Luconia Province, Malaysia
ispublished: pub
keywords: Carbon capture; Carbonates; Carbonation; Conformal mapping; Digital storage; Gasoline; Petrophysics; Sedimentary rocks; Stratigraphy; Well logging, Carbonate rock; Kohonen self-organizing maps; Malaysia; Multi-scale datum; Petrophysical; Rock properties; Rock types; Self-organizing-maps; Type predictions; Work-flows, Self organizing maps
note: cited By 0; Conference of 2023 International Petroleum Technology Conference, IPTC 2023 ; Conference Date: 1 March 2023 Through 3 March 2023; Conference Code:187143
abstract: A crucial role that significantly affects carbonate field development for hydrocarbon and carbon sequestration (CCS) projects is reducing uncertainty in rock type prediction. The carbonate reservoirs in Central Luconia Province, Malaysia, are significant economic worldwide reservoirs and are currently considered excellent candidates for Carbon Storage containers. The nature of these carbonate rock properties is visible and notably distinguishable at the core scale. To characterize significant petrophysical and geological factors of the distribution of the rock properties in the E11 carbonate build-up, this work proposes a sequence of processes (workflow) for obtaining spatial information about the organization using Kohonen Self-organizing maps. This work highlights the significant geological and petrophysical constraints on the distribution of rock properties in the E11 field. Using self-organizing maps, the predicted rock types were propagated among wells with no core available. Using this workflow, multiscale data is categorized according to "patterns". The phases include Phase 1: Detailed core description, Phase 2: Microscope sections description, Phase 3: Well logs analysis, Phase 4: Well logs analysis, and Phase 4: Self-organizing maps using IPSOM module in Techlog software. Considering the stratigraphic organization, juxtaposition, and proportions, the anticipated rock type closely resembles the rock types identified by core description manually. The results allow a comprehensive understanding of flow behavior in carbonate tight and reservoir rock types. Copyright © 2023, International Petroleum Technology Conference.
date: 2023
publisher: International Petroleum Technology Conference (IPTC)
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150658981&doi=10.2523%2fIPTC-22886-EA&partnerID=40&md5=d46d79fcbddc4430f6796746dc5cde2e
id_number: 10.2523/IPTC-22886-EA
full_text_status: none
publication: International Petroleum Technology Conference, IPTC 2023
refereed: TRUE
isbn: 9781613998663
citation:   Soto, G.J. and Latiff, A.H.A. and Habel, W.B. and Poppelreiter, M.  (2023) Integrated Multiscale Carbonate Rock Types Prediction Using Multiscale Data and Kohonen Self-Organising Maps in E11 Field, Central Luconia Province, Malaysia.  In: UNSPECIFIED.