Akses terbuka Jurnal SINTA 1
A New Procedure For Reservoir Fluid Characterization With Equation Of State (EOS)
Scientific Contributions Oil and Gas · Vol. 32 No. 2 (2022) · hlm. 82–93
- ISSN
- 2541-0520, 2089-3361
- Terbit
- 2022-03-17
- Penerbit
- Testing Center for Oil and Gas LEMIGAS
- Bahasa
- eng
Abstrak
A new procedure for reservoir fluid characterization through equation of state (EOS) is proposed. It is applied in a selecting the most appropriate fluid composition for the purpose of reservoir fluid characterization. A Hoffman-Crump-Hocott plot is used to determine whether or not the streams are genuine equilibrium fluids. With the aid of phase diagram and saturation pressure from RFT, the most appropriate fluid sample was chosen for fitting an equation of state to experimental data through regression. Based on data analysis and quality control of all PVT data suggested that fluid from UP-1 DST-3 is the best representative of XYZ field. The PR3-EOS and LBC correlation are applied to the UP-1 DST-3 data sets under conditions of predictions and regression. Agreement between laboratory data and regressed EOS results is generally good to excellent. The results show that that regression on critical properties of components is sufficient for good data matches. In this work, a good agreement with experimental data was obtained with grouping (lumping) 15 to 7 components.
Kata kunci
Jaringan kolaborasi para penulis
4 penulis · 4 tautan kepenulisan bersama
Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.
- National Research and Innovation Agency
- Afiliasi tidak diketahui
- Organisasi berbeda
- Organisasi sama
- Afiliasi tidak diketahui
- Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
| Rekan penulis | Organisasi | Artikel bersama |
|---|---|---|
| Utomo Pratama Iskandar | Afiliasi tidak diketahui | 2 |
| Usman Pasarai | National Research and Innovation Agency | 1 |
| R. Thawer | Afiliasi tidak diketahui | 1 |
Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.