Solving Petroleum Analytics For Upstream Oil & Gas
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Unlocking oil and gas potential through tailored engineering dashboards, advanced analytics, and decades of industry expertise.
In this dashboard, we integrated SNAP (a 3rd party dll) and the client’s MS-SQL database to create an interactive dashboard that calculates on-the-fly to project reservoir bottom hole pressure, drawdown pressure, and other production critical data over time.
This app is placed on management’s desktop and is run with a single click. Using the company’s own internal daily data, tubing design, and various fluid models, each well runs in seconds (or sub-seconds).
Company iteration time went from days to seconds and became fully automated. Management is able to review and project reservoir pressures as soon as the data reaches the server.
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This dashboard was to built to assist company engineers in selection of wells for Type Curves (aka Type Well Profiles) used in reserves estimation.
It uses a combination on internal corporate data and public data and runs instantly on groups of wells.
A Boosted Decision Tree algorithm determines the most relevant factors and anomaly detection identifies the wells that are relevant for a given outcome.
This dashboard provides consistency for Type Curves and speed in the engineer’s selection process.
WATCH NOW
This dashboard was created to instantly view individual or aggregated cash flow.
It is tied into the corporate database and provides a visual, streamlined method of analyzing changes in revenue and cost components over time.
This dashboard provides speed and great insights in Lease Operating Statements (LOS) cost analysis.
WATCH NOW
We explain how to apply ARPS projection to any stream on the Daily Production Dashboard. This dashboard pulls up various streams from the client's server, including oil, gas, water, drawdown pressure, plus many calculated streams. We show you how to calculate and compare these values and adjust the forecast parameters.
WATCH NOW
We provide insight into how our data foundation is created and how it serves as the backbone for all our apps. We explain the different ways we can pull in data, whether it's directly from a company server, through Excel, or a combination of both. We also demonstrate how easy it is to customize the data fields and add your own custom data.
WATCH NOW
In this dashboard, we integrated SNAP (a 3rd party dll) and the client’s MS-SQL database to create an interactive dashboard that calculates on-the-fly to project reservoir bottom hole pressure, drawdown pressure, and other production critical data over time.
This app is placed on management’s desktop and is run with a single click. Using the company’s own internal daily data, tubing design, and various fluid models, each well runs in seconds (or sub-seconds).
Company iteration time went from days to seconds and became fully automated. Management is able to review and project reservoir pressures as soon as the data reaches the server.
WATCH NOW
This dashboard was to built to assist company engineers in selection of wells for Type Curves (aka Type Well Profiles) used in reserves estimation.
It uses a combination on internal corporate data and public data and runs instantly on groups of wells.
A Boosted Decision Tree algorithm determines the most relevant factors and anomaly detection identifies the wells that are relevant for a given outcome.
This dashboard provides consistency for Type Curves and speed in the engineer’s selection process.
WATCH NOW
This dashboard was created to instantly view individual or aggregated cash flow.
It is tied into the corporate database and provides a visual, streamlined method of analyzing changes in revenue and cost components over time.
This dashboard provides speed and great insights in Lease Operating Statements (LOS) cost analysis.
WATCH NOW
We explain how to apply ARPS projection to any stream on the Daily Production Dashboard. This dashboard pulls up various streams from the client's server, including oil, gas, water, drawdown pressure, plus many calculated streams. We show you how to calculate and compare these values and adjust the forecast parameters.
WATCH NOW
We provide insight into how our data foundation is created and how it serves as the backbone for all our apps. We explain the different ways we can pull in data, whether it's directly from a company server, through Excel, or a combination of both. We also demonstrate how easy it is to customize the data fields and add your own custom data.
WATCH NOW
