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Enthought has a great deal of experience working with scientists and engineers from the oil and gas industry. Services offered to these clients range from customized on-site training to extensive consultation contracts and tailor-made software. Major clients in this field have included Shell and ConocoPhillips.

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Training for Geoscientists

Enthought offers a variety of training courses for geoscientists. Python for Geophysicists is one of our most popular choices. Other focused sessions, such as Scientific Computing with Python, are available to those working in geomechanics, engineering, or modeling. On-site customized courses can also be arranged.


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Geoscience Custom Applications

CSEM data calibration Using open source software, Enthought developed a Controlled-Source Electromagnetic (CSEM) method tool for Shell that lets the user explore datasets through tables, maps, and graphs while applying separate calibrations to different subsets of the data. Calibrated data can then be inverted to get an earth model. Prior to this solution, Shell manually manipulated spreadsheets and Matlab scripts to calibrate data from a putative earth model. The process was tedious and prone to error. The Enthought solution accelerates and automates the once laborious process and provides a flexible framework for extending and modifying algorithms and workflows.

Pore pressure prediction With CoPEG, a pore pressure prediction application developed for ConocoPhillips, the user can readily calibrate their prediction model to calculate appropriate counter-pressure. Using 1D well log data, the application interpolates the pressure for the depth of the existing well. After adding data from several more wells along with seismic data for a 2D line or 3D cube, CoPEG can predict the pressure at any point in the data space. Data can be viewed simultaneously in one, two or three dimensions. This solution makes it easy to see how updates to calibrations in one or more areas of a region affect the pressure in the region as a whole.

Stochastic analysis Enthought's simulation and risk software, ProAVA, was also developed for ConocoPhillips. The application provides a highly interactive environment for "occasional" investigators to research drilling prospects and provides an extensible framework that enables expert users to define new geologic models and algorithms. Properties of each lithographic layer in the model can be generated programmatically or from imported well logs. ProAVA then uses Monte Carlo and Bayesian techniques to estimate probabilities of oil, natural gas, or brine in the layer of interest. This offers valuable insight into the economic feasibility and potential of well prospects.