The geostatistical approach for structural and stratigraphic framework analysis of offshore NW Bonaparte Basin, Australia

Wahid, A. and Salim, A.M.A. and Gaafar, G.R. and Yusoff, W.I.W. (2016) The geostatistical approach for structural and stratigraphic framework analysis of offshore NW Bonaparte Basin, Australia. In: UNSPECIFIED.

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Abstract

Geostatistics or statistical approach is based on the studies of temporal and spatial trend, which depend upon spatial relationships to model known information of variable(s) at unsampled locations. The statistical technique known as kriging was used for petrophycial and facies analysis, which help to assume spatial relationship to model the geological continuity between the known data and the unknown to produce a single best guess of the unknown. Kriging is also known as optimal interpolation technique, which facilitate to generate best linear unbiased estimation of each horizon. The idea is to construct a numerical model of the lithofacies and rock properties that honor available data and further integrate with interpreting seismic sections, techtonostratigraphy chart with sea level curve (short term) and regional tectonics of the study area to find the structural and stratigraphic growth history of the NW Bonaparte Basin. By using kriging technique the models were built which help to estimate different parameters like horizons, facies, and porosities in the study area. The variograms were used to determine for identification of spatial relationship between data which help to find the depositional history of the North West (NW) Bonaparte Basin. © 2016 AIP Publishing LLC.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 2; Conference of 1st Progress in Applied Mathematics in Science and Engineering, PIAMSE 2015 ; Conference Date: 29 September 2015 Through 1 October 2015; Conference Code:119403
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:19
Last Modified: 09 Nov 2023 16:19
URI: https://khub.utp.edu.my/scholars/id/eprint/7205

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