EarthNET Insights | ESA

Map plots

Our map plots allow you to visualise your AI-interpreted data in a geographical context, making it easier for you to understand the relationships between different properties. The maps can also show geographical and cultural data such as coastlines, basin outlines, well locations, infrastructure, license polygons, and block boundaries.

Choose from a variety of visualisation options, including blobs, bars, and histograms, to better understand the distribution of your data. Use kriging and interpolation techniques to create property distribution maps that show predictions of the property values between wells.

Insights_Map plots

Data filtering

Choose what information you want to display on the map by selecting from your available data sets. You can do this by filtering on wells, formations, lithology, depth, data quality, reservoir & pay flags, and log value ranges. This allows you to formulate questions you want answered in the form of map based graphical visualisations.

Insights_Data filtering

Reservoir evaluation tools

When creating volumetric estimates we need to know the averages and distributions of porosity, water saturation and net/gross related to stratigraphic zones, depth, geographic location etc.

Using the reservoir evaluation in EarthNET Insights, you can calculate both the porosity, water saturation and net/gross for stratigraphic zones. These distributions can be exported to the volumetric calculation tool of your choice where you can do further data-driven uncertainty analysis using Monte Carlo simulation.

Insights_Reservoir evaluation

REMOVE HUMAN BIASES

Use all available data to form the basis for your decision-making

The traditional expert-driven approach to decision-making in exploration, field development, and basin screening contexts has proven to be subjective and prone to human biases, resulting in overestimations of hydrocarbon volumes and less accurate geomodels.

With EarthNET Insights, all available data is utilised to deliver fully auditable, reproducible, and cost-effective insights at scale. It provides a complete and purely data-driven basis for volumetrics and hydrocarbon-in-place calculations, reducing uncertainty and minimising risk.

1

QUERY YOUR DATA

Formulate the question you want answered. You can get answers to any question related to the well data in your Data lake.

2

FILTER YOUR DATA

You can filter by wells, formations, lithology, depth, data quality, reservoir & pay flags, and log value ranges.

3

SELECT TARGET PROPERTY

Use map plots to select your target property based on your measured and computed logs, and display it on the map.

4

CREATE HISTOGRAM

The histogram shows the property distribution for each of your selected wells, based on your filter settings.

5

CALCULATE NET/GROSS

Use the reservoir evaluation tool to create the property distribution you will use as input for probabilistic volumetric analysis.

6

EXPORT DISTRIBUTION

Export the property distribution to the volumetric calculation tool of your choice, and use Monte Carlo Simulation to compute HCIIP.