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All Journal JGE (Jurnal Geofisika Eksplorasi) Journal of Science and Applicative Technology
Ruhul Firdaus
Institut Teknologi Sumatera
Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Materials Science & Nanotechnology Mechanical Engineering

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Journal : Journal of Science and Applicative Technology

 1 
OPTIMALISASI PROSES KOMPUTASI PELEBARAN PITA FREKUENSI DATA SEISMIK REFLEKSI BERBASIS INVERSI BERESOLUSI TINGGI UNTUK PENAFSIRAN STRATIGRAFI SEISMIK Ruhul Firdaus
Journal of Science and Applicative Technology Vol 2 No 1 (2018): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.173 KB) | DOI: 10.35472/281468

Abstract

Resolution capability of seismic reflection data is becoming more interesting topic to discuss even for today. Several methods and approximations to attempt bandwidth extension of seismic reflection data have been proposed in wide variety. Among them is a non-stationary reflectivity inversion based on basis pursuit decomposition technique. The need of the method is increasing as it can provide realistic resolution of seismic data. The main advantages of the method are consistancy with log data, good lateral continuity, preserve amplitude and capable in denying artificial reflection feature. Nevertheless, its computational process is very expensive thus most pratitioners tend to avoid the method and look for another method that could serve quicker instead of better results.This paper attempt to propose a set of computational scheme which can be used flexibly for any prospective user to reduce the computational cost of the method.
Karakterisasi reservoir menggunakan metode Seismik Inversi Acoustic Impedance (AI) dan Seismik Multiatribut dengan Probabilistic Neural Network (PNN) pada lapangan Blok F3, North Sea Netherland Muhammad Intasya Falie Rizqi; Ruhul Firdaus
Journal of Science and Applicative Technology Vol 5 No 2 (2021): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v5i2.274

Abstract

A 3D seismic acquisition has been carried out for oil and gas exploration in F3 field block of North Sea sector of the Netherland formed between the Jurassic and Cretaceous periods. The presence of hydrocarbons is indicated by the phenomenon of bright spots and gas chimneys below the surface. The data used are 3D post stack time migration seismic data and four wells with well log, checkshot and marker data availability. This study uses two methods in determining reservoir zones, namely the acoustic impedance inversion method and the multi-attribute method with PNN. Both methods integrate seismic data with well data. AI inversion method is used to predict the physical properties of rocks, namely their acoustic impedance values. The multi-attribute method is used to predict well log properties from seismic data. Non-linear multi-attribute transformation is obtained by the process of training neural networks with a type of probabilistic neural network (PNN). In this research, acoustic impedance volume and porosity estimation volume will be made to identify the hydrocarbon reservoir prospect zone. The two methods are then applied to the Netherlands F3 seismic field data, and the results show that there are three sandstone reservoir zones that have an acoustic impedance range between 4100-4800 (m/s)*(gr/cc) and porosity range between 29-35 (% ).
Co-Authors Andri Yadi Paembonan Antosia, Risky Martin Ekawati, Gestin Mey Erlangga, Mokhammad Puput Felik Destian Putra Amijaya Indah Lestari Intan Adiani Putri Muhammad Intasya Falie Rizqi Purwaditya Nugraha Rhahmi Adni Pesma Santoso, Nono Agus Virgian Rahmanda