Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maria Indriaty Susanto"'
Publikováno v:
Day 2 Tue, November 10, 2020.
This paper intends to utilise magnetic resonance (MR) data to predict the rock-type (RRT), by correlating its profile to the Mercury Injection Capillary Pressure (MICP), using a novel semi-automated method. Data presented come from Oilfield A, a rese
Autor:
Maria Indriaty Susanto, Bernato Viratno, Christopher Sellar, David Rafael Contreras Perez, Ruqaya Abdulla Al Zaabi
Publikováno v:
Day 3 Wed, November 13, 2019.
The rationale of structural uncertainty analysis in reservoir modeling is to quantify the range of probable Gross Rock Volume (GRV) s and searchfor the means to reduce this range as much as possible. This task considers running different scenarios an
Autor:
Christopher Sellar, Maria Indriaty Susanto, Bernato Viratno, David Rafael Contreras Perez, Ruqaya Abdulla Al Zaabi
Publikováno v:
Day 3 Thu, September 19, 2019.
This paper summarizes an efficient workflow for building a reliable static model reference case by improving the accuracy of well placement in a hydrocarbon bearing structure. This is beneficial in optimising upcoming well target position and traject
Publikováno v:
Day 3 Thu, September 19, 2019.
This paper presents a diagnostic workflow to understand and implement rock and fluid modeling in a diagenetically heterogeneous and hydrodynamically pressured Middle East carbonate field. The workflow allows interactive field data integration, provid