Whitepapers ///

Impacto en el resultado final

Es bien sabido que la industria petrolera se encuentra en una batalla constante contra los bajos precios del crudo, regulaciones más estrictas, otras alternativas de combustible y energía, así como el aumento de los costos de exploración. Los operadores en están luchando por lograr un punto de equilibrio en los costos de producción. Pero aún hay más valor que se puede extraer de los activos físicos y los operadores más inteligentes recurren a un nuevo tipo de infraestructura para enfrentar los desafíos actuales y futuros. Hablamos de la infraestructura de datos. En este documento encontrará 10 ejemplos del mundo real de innovadores de petróleo y gas utilizando datos para efectos económicos.

Date
4/23/2018
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Case Studies in Optimizing Brownfield Production without Capital Investment

Generating production growth from brownfields does not have to be linked directly to capital spending or overly aggressive reservoir management. Digital Oil Recovery™ is providing a compelling alternative to traditional approaches and delivering production gains of up to 20% or more without capital investment.

Date
1/31/2018
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Access Untapped Hydrocarbons Using Long Step-out Systems

With case studies from Gullfaks C in the North Sea, Moho Nord in Congo, and Norway’s Tyrihans and Åsgard fields, this white paper shows how you can go deeper and further – safely and economically – even in extreme conditions. In particular it considers: • Factors driving the need to go further afield • Benefits of and challenges faced by long step-outs • Process for designing and testing subsea pump and compressor applications

Date
1/4/2018
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Increase Production and Profitability By Predicting Breakdowns Months in Advance

Traditional preventive maintenance alone cannot solve the problems of unexpected breakdowns. Now it’s possible to extract value from process, asset and maintenance data to optimize the performance of your assets. Download this white paper to learn about asset performance management powered by low-touch machine learning, and how this disruptive technology can: • Predict equipment breakdowns months in advance • Advise on prescriptive maintenance • Increase production and profitability

Date
12/8/2017
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