Identification of Hydrocarbon Gas and Discriminate CO2 Using Lame Parameter and Batzle-Wang Model

Alvian Yogi Pamungkas, Mohammad Syamsu Rosid, Mochammad Wahdanadi Haidar

Research output: Contribution to journalConference articlepeer-review

Abstract

Drilling activities in 2016 were carried out at 34 points with only achieving a success ratio of 26%. It affects the decreasing in natural gas reserves. In addition, the presence of CO2 raises problems during production and environmental problems. So, it is necessary to identify hydrocarbon gas and to discriminate CO2. The method used for gas identification is the Lame parameter where the parameters can distinguish the effects caused by lithology and fluid. The Batzle-Wang model is applied to distinguish between hydrocarbon gases and CO2 gas by estimating the fluid's properties of CO2 gas. Based on the analysis of result the parameters Lambda-Rho and Mu-Rho, both parameters can distinguish the lithology and identify the hydrocarbon fluid content. The area around the C4 is indicated hydrocarbon in 9930-10000 ft depth with Lambda-Rho 30-31.79 GPa∗g/cc and Mu-Rho 27-43 GPa∗g/cc. Based on the Batzle-Wang Vp analysis, saturated CO2 gas is vulnerable at 16000-17000 ft/s where it is still in range Vp saturated hydrocarbon gas and distributed around the C4 well based on LMR analysis.

Original languageEnglish
Article number15003
JournalE3S Web of Conferences
Volume125
DOIs
Publication statusPublished - 28 Oct 2019
Event4th International Conference on Energy, Environment, Epidemiology and Information System, ICENIS 2019 - Semarang, Indonesia
Duration: 7 Aug 20198 Aug 2019

Keywords

  • Batzle-Wang Model
  • CO2
  • Hydrocarbon gas
  • Lame Parameter

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