MEERA Simulation

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3 Followers
1 Deploy

Simulation techniques by modern machine learning

Page last modified
February 22 2024

Traditional reservoir simulation approaches are time-consuming and can quickly fall out of date as new production and operation data becomes available. Resulting in a sub-optimal short cut in between model updates and inconsistencies in production forecasting.

The MEERA Ecosystem is a digital workspace for realizing transformational, enterprise workflows.  Built on top of cloud application architecture and deployed on a private, public, or hybrid cloud, the ecosystem is an interactive, multi-user environment that supports seamless workflows across business process silos.

Pros & Limitations
1
Significant time and costs savings to your petroleum engineering staff
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Better predictions due to lower dependency on uncertain or unavailable data
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Locate remaining oil for improved development optimization decisions
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Update production forecasts using your latest available data and a machine learning model
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Import your dynamic model from industry standard reservoir simulators
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Data mining determines which parameters most influence production behavior
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All production and well activity data are used during machine learning and predictive modeling
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Interactive data visualization with 3-D displays and advanced data validation
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Requires dynamic models created in other industry simulators as input
Specification
Specification Title Specification Description
Accuracy
Artificial intelligence mitigates impact of uncertainties.
Areas of Application
Production forecasting.
Capabilities
Combines conventional simulation techniques with modern machine learning approaches.
Connectivity
Import your dynamic model from industry standard reservoir simulators.
Control of Process flow
​​​​​​​The history is matched better than with the traditional commercial simulator and in particular, the “blind test” prediction for some wells is better than the traditional simulation HM of the same wells.
Implementation time
History simulation takes 12 minutes.
Product
Software
Reporting
Seconds with full BI analytics, reporting and graphing.
Speed
Each prediction simulation takes 50-70 milliseconds.
Usability
Leading UI for ease of use.

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Technology Readiness Level

The Technology Readiness Level (TRL) indicates the maturity level of novel technologies. Learn more about the TRL scale used by us.

[9/9]

Development Technology demonstration Mature / Proven
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TARGET is an international technology and services company focused on delivering business performance management, analytic processes, upstream E&P applications and associated services to kickstart your digital transformation.

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