--> Technology Contribution for Integrated Shared Live Earth Model

2018 AAPG International Conference and Exhibition

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Technology Contribution for Integrated Shared Live Earth Model

Abstract

The concept of a shared earth model was born with the advent of computer-aided exploration. In the past, many obstacles including the lack of technology, siloed workflows and serial processes have prevented geoscientists to work using a model-centric approach. The objective of this paper is to demonstrate the impact of Shared Live Earth Modelling (SLEM) technology on dynamic subsurface maps and structural models. SLEM is updated continuously with the cumulative knowledge of the asset team and live data integration. This paper highlights all significant stages from seismic interpretation to geomodelling. Unlike traditional shared earth model where team members contributed to the model only at the completion of a specific task, SLEM concept enables asset team members to contribute and benefit at the same time. The SLEM workflow begins with integrating faults and well top’s surface geometries guided by seismically defined surfaces. This data is controlled by conformance rules to manage structural surfaces and fault relationships. The SLEM model is updated with real time data including measuring while drilling logs and deviation survey. This enables geoscientists working in shared multi user’s environment to design new wells, monitor geosteering operation and update the structural models dynamically. Shared earth modeling allows the geoscientists to consolidate their findings and create the integrated representation of the earth. This gives a more realistic picture of what the reservoir actually looks like, and thus can drastically cut the costs of drilling and time spent on mapping the reservoir. Shared live earth model is a methodology that offers modeling paradigms to the geoscientists to maximize reservoir output. It fosters an environment for cross-domains users to work as asset-teams to map multi-stacked reservoir layers accurately, efficiently, and dynamically while geosteering.