Abstract

Sisi and Nubi (SNB) fields are two adjacent primarily gas fields located 25 km offshore from the modern Mahakam delta These fields are complex from a reservoir management point of view with hundred thousands of Static & dynamic data, and continuously increase by time. Reservoir synthesis and geomodel update are always on-going process with numerous QC, data mining & data manipulation. In brief, Sisi Nubi data management & synthesis challenges are: (1) Enormous size of static & dynamic data (2) Numerous Data mining & data manipulation (3) Rigorous Geomodel QC and reporting.

Business Intelligence (BI) is the philosophy of this study; it is a set of techniques and tools for the acquisition and transformation of raw data into meaningful and useful information for business analysis purposes. The goal of BI is to allow for the easy interpretation of these large volumes of data.

The Sisi Nubi dashboard is a self-service business intelligence tool that was design by the asset to answer & streamline the database management and reporting, hence give more time for the asset's geosciences team to do the reservoir synthesis and optimize the study time by automate the data mining & manipulations. The Sisi Nubi dashboards composed of an automated workflow in the geomodeling platform for the data mining, combined with spreadsheet based tool for the data manipulation and presentation (dashboard-ing).

The result of this study presented in 6 unique dashboards, representing 6 difference perspectives of the user. These dashboards are linked to the SNB geomodel and allow instantenous update. Combined with the updated SNB geomodel workflow, the collaboration of two tools has proven significantly streamline the geomodeling reporting & synthesis efficiency.

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