Open AccessReservoir charaterization using J-atribute as a new attribute to reduce ambiguity in predicting reservoirs
Author(s) -
I G Dwinanda,
Abdul Haris
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1882/1/012008
Subject(s) - amplitude versus offset , porosity , ambiguity , geology , calipers , offset (computer science) , amplitude , mathematics , computer science , physics , geometry , geotechnical engineering , optics , programming language
The Amplitude Variation Offset (AVO) technique has often been used to predict the deposition of hydrocarbons. Knott and Zoeppritz developed the AVO method by using values of primary wave velocity (v p ), secondary wave velocity (v s ) and density. Then, Rutherford and William divide AVO into 4 classes based on intercept and gradient charts. This method is successfully used to predict hydrocarbons. However, in some cases there are still ambiguities and misinterpretations such as those occurring in oil and water which assess large porosity and similar characters, so that in this study required a new AVO attribute proposed by the name J-attribute to study hydrocarbons and use ambiguous in the results interpretation. The J-attribute method is a new method in Indonesia, which has not yet been tried in the Indonesian field so this research wants to prove the working principle of the J-attribute method required to provide maximum results in determining the fluid. This method is carried out in the Fauna Field, which is made in the North Sumatra Basin. The data used in this study 3 wells equipped with markers and log data such as Gamma Ray, SP, Caliper, Neutron Porosity, Density, Resistivity, DT, Photoelectric, and check shot.