Prediksi Nilai Impedansi Akustik Menggunakan Regression Based Neural Network

Abstract

In the era of increasingly advanced technology, many innovations are carried out using sophisticated technologies. One of the technologies is Machine Learning, some types of machine learning are used in the current technological era, one of which is the Neural Network. Neural Network is one of the Machine Learning algorithms that is widely used in solving complex problems, the way the neural network works is by imitating the workings of neurons in decision making. This final project aims to see the effectiveness of the neural network in reconstructing the Acoustic Impedance model based on the seismic data obtained and compare it with the inversion results using the Inversion Model-Based Inversion method.