APS 2023
Conference Management System
Main Site
Submission Guide
Register
Login
User List | Statistics
Abstract List | Statistics
Poster List
Paper List
Reviewer List
Presentation Video
Online Q&A Forum
Access Mode
Ifory System
:: Abstract ::

<< back

Identification of Shale Gas Existence Based on 2-Dimensional Magnetotelluric Data in the Kutai Basin, East Kalimantan, Indonesia
Santi Nanda Putri(a), Shofi Iqtina Hasan(b), Cahyo Aji Hapsoro(a*), Yoyok Adisetio Laksono(a)

a) Physics Department, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang, Jalan Semarang 5, Malang, East Java 65145, Indonesia.

b) Center for Geological Survey, Geological Agency of Indonesia, Ministry of Energy and Mineral Resources, Indonesia, Jalan Diponegoro No. 57, Bandung 40122, Indonesia.


Abstract

Research on unconventional methods in the shale gas exploration process has begun to be developed to meet the demand for oil and natural gas sustainability. The research area is located in the Kutai Basin, East Kalimantan, Indonesia. The current study from Center for Geological Survey show that the Kutai Basin has 46.79 TCF of shale gas potential. The Magnetotelluric (MT) method was applied in this study to describe distribution of subsurface resistivity values. The inversions scheme performed in MT method are 1-dimensional and 2-dimensional inversions. In this study, there are 8 measurement stations in 1 line. The presence of low resistivity values or conductive zones identifies the potential for black shale layers. The potential for shale gas is suspected to be detected at station KT29 which is included in the Pamaluan Formation and at stations KT12, KT31, KT13, and KT15 which are included in the Pulaubalang Formation because it is associated with source rock from petroleum in the Kutai Basin system supported by previous research data.

Keywords: Unconventional oil and Gas- Shale Gas- Magnetotelluric- Kutai Basin

Topic: Earth and Planetary Sciences

Plain Format | Corresponding Author (Santi Nanda Putri)

Share Link

Share your abstract link to your social media or profile page

APS 2023 - Conference Management System

Powered By Konfrenzi Ultimate 1.832M-Build6 © 2007-2026 All Rights Reserved