Testing page for app

In this work, the authors developed a numerical model of in-situ upgrading (IU) on the basis of laboratory experiences and validated results, applying the model to an IU test published in the literature.

The cost reduction per barrel of oil produced and the extension of sustainable production life by optimization have been two major areas of focus, but the investments in new technologies and recovery-improvement research have not received sufficient attention during the downturn.

This paper shares experience gained in the Ashalchinskoye heavy-oil field with a two-wellhead SAGD modification. As a result of a pilot for this technology in Russia, the accumulated production of three pairs of these wells is greater than 200,000 tons.

To enhance the applicability of localization to various history-matching problems, the authors adopt an adaptive localization scheme that exploits the correlations between model variables and observations.

Machine-learning methods have gained tremendous attention in the last decade. The underlying idea behind machine learning is that computers can identify patterns and learn from data with minimal human intervention. This is not very different from the notion of automatic history matching.

A challenging problem of automated history-matching work flows is ensuring that, after applying updates to previous models, the resulting history-matched models remain consistent geologically.

This paper presents a work flow to match the history of reservoirs featuring complex fracture networks with a novel forward model.

CLOs play a critical role in developing and maintaining relationships with communities in and around the sites of company operations.

Frac water disinfection experts become De Nora service arm in the unconventional oil and gas market.

If sanctioned and developed, the deepwater Pecan field would be Ghana’s fourth producing offshore field. First oil is expected 35 months after sanction, which could come as early as this year.