Determination of the porosity for the clastic sedimentary grain and the magmatic basement rocks of from well log data using the artificial neural networks Cuulong basin

http://jmes.humg.edu.vn/en/archives?article=1187
  • Affiliations:

    1 Exploration Dept of PVEP POC, Graduate student Faculty of Geology - VNU University of Science, Vietnam;
    2 Hanoi University of Mining and Geology, Vietnam

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  • Received: 18th-Oct-2016
  • Revised: 18th-Mar-2017
  • Accepted: 30th-June-2017
  • Online: 30th-June-2017
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Abstract:

The porosity is the most important parameter in investigation of the oil bodies and during the production process. The existing softwares can only calculate the porosity with at least 6 accurately recorded well log curves. In fact, this requirement is very difficult to meet. This study presents a method to calculate the porosity of the magmatic basement rocks and the clastic sedimentary grain of Cuulong basin from well log data by using artificial neural network (ANN). Six curves must be collected and accurately recorded to meet the requirements of the existing softwares is very difficult. But each segment has 4 curves collect and accurately record to meet the requirement of this study is easy. The actual testing results on the wells are calculated by other softwares and the 15 drilled wells are used for calculating the porosity in this study. The Exploration Group Japan Vietnam Petroleum Company LTD (JVPC) has used the results of calculations of porosity by ANN of this study for 15 drilled wells in order to build the mining production technology diagrams. The other softwares are not able to calculate of 15 these drilled wells. It shows that the artificial neural network model of this research is a great tool for calculating porosity.

How to Cite
Ha, D.Song and An, L.Hai 2017. Determination of the porosity for the clastic sedimentary grain and the magmatic basement rocks of from well log data using the artificial neural networks Cuulong basin. Journal of Mining and Earth Sciences. 58, 3 (Jun, 2017).