Fraceon
Shale Optimization
Reduce OPEX and Increase Production from Shale with Tachyus' Fraceon platform
Reduce OPEX and Increase Production from Shale with Tachyus' Fraceon platform
Cut completion costs by reducing frac fluids and proppant injected while maximizing initial oil production rates.
Predict production response and adjust choke settings accordingly.
Optimize the balance of short term and long term flowback.
Empower engineers to accomplish more in less time, use fewer frac stages, and reduce payback period.
Visualize the effect of modifications on field-wide performance.
Smart algorithms drive data exploration and decision-making.
“The Tachyus technology is revolutionary for the petroleum industry in how it combines the robustness of the known physics and the speed of modern data science.”
Fraceon users can leverage fast optimization algorithms to mitigate risk while determining the best possible use of capital. The Tachyus platform enables engineers to explore millions of scenarios rapidly so that instead of manually sifting through vast quantities of data, engineers can focus on managing trade-offs between cutting costs, increasing oil production and maximizing recovery across a range of operational and development plans for unconventional reservoirs.
Tachyus’ Data Physics integrates the same fundamental physical principles found in traditional reservoir simulators with data science techniques such as machine learning to rapidly predict and optimize shale response. Engineers use Fraceon not only to decide where and how to complete and produce, but also to validate the underlying predictive models powering the Tachyus platform.
Engineers can explore a wide range of visualizations of past production performance, potential completion design plans and expected production response to altering choke settings. Fraceon reports are accessible on command center displays, workstations, and tablets in the field. It has never been easier for engineers to keep track of unconventional operations and to share reports and analysis with colleagues.