Determination of the Mineral Volumes for the Pre-Cenozoic Magmatic Basement Rocks of Cửu Long Basin from Well log Data via Using the Artificial Neural Networks

• Main Authors: Lê, Hải An, Đặng, Song Hà
• Format: Article
• Language: English
• Published: ĐHQGHN 2017
• Subjects: ANN; determination; mineral volumes; Magmatic basement rocks; Cửu Long basin; Artificial Neural; ANN in oil and gas industry; well log data; Networks
• Online Access: http://repository.vnu.edu.vn/handle/VNU_123/57274
• Institution: Vietnam National University, Hanoi

The mineral volumes in the magmatic basement rocks are the most important characteristics in investigation of the oil bodies in fractured basement rocks and during the production process. The BASROC software can be used for calculation of the mineral volumes with great accuracy only when adequate and virtuous well log curves can be obtained. In fact, this requirement is very difficult to attain in [1]. This study offers a method, which can be used for calculation of the Mineral volumes of the Pre-Cenozoic Magmatic basement rocks of Cửu Long basin from Well log data by using Artificial Neural Networks. Firstly, by using the mineral volumes of a well that the BASROC software could calculate with great accuracy for network instruction, then the neural system can calculate the wells which the BASROC software could not analyze due to bad quality and/or insufficient well log curve datas. The testing results on the wells, calcultated by the BASROC software and the mineral volumes calculations in reality in order to build the mining production technology diagrams (according to the contract about the joint study between PVEP and JVPC) show that the Artificial Neural Network model of this research is a great tool for determining the mineral volumes.