Prediction of interface of geological formations using generalized additive model

Qi, Xiaohui, Yang, Zhiyong and Chu, Jian (2022) Prediction of interface of geological formations using generalized additive model. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 16 (1). pp. 127-139. ISSN 1749-9518

[img] Text
manuscript_accepted_version.pdf - Accepted Version
Restricted to Repository staff only until 18 January 2023.

Download (789kB) | Request a copy
Official URL: https://doi.org/10.1080/17499518.2022.2028847

Abstract

Geological information such as geological interfaces is important for the design of underground excavation and supporting measures. This in turn requires a method to predict accurately the locations of geological interfaces for the gap areas between boreholes. This study presents a generalized additive model (GAM) to predict the location of the geological interfaces. The performance of the GAM method is evaluated using both simulated data and borehole data for the determination of rockhead in two different geological formations in Singapore. The results show that the GAM method can provide a reasonable confidence interval (CI) of the mean trend and the prediction interval (PI) in the sense that the 95% CI covers about 95% of the actual mean curve while the 95% PI covers around 95% of testing data. Furthermore, the geological complexity can be well reflected as the prediction uncertainty in the geologically complex area is larger than that in the geologically regular area. More importantly, the users can impose prior information or personal judgment regarding the shape of the geological profile on the model. This is an important feature to enable further improvement in the accuracy of the prediction.

Item Type: Article
Additional Information: Funding information: This work was supported by National Natural Science Foundation of China: [Grant Number 52109144]; Open Innovation Fund of Changjiang Institute of Survey, Planning, Design and Research: [Grant Number CX2020K07].
Uncontrolled Keywords: spatial prediction, geological interface, generalized additive model, cubic spline
Subjects: F900 Others in Physical Sciences
H100 General Engineering
H300 Mechanical Engineering
H900 Others in Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Rachel Branson
Date Deposited: 19 Jan 2022 15:34
Last Modified: 30 Mar 2022 13:00
URI: http://nrl.northumbria.ac.uk/id/eprint/48209

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics