Shale, Big Data and the End of Saudi Reign at the Pump

Late July 2013, news broke that the kingdom of Saudi Arabia was facing the unthinkable—a shortfall of oil export revenue. A report to the kingdom’s oil minister published on Twitter cited the rising production of U.S. shale oil as a major reason behind decreased demand.

Atanu BasuShale, Big Data and the End of Saudi Reign at the Pump

Customer Profile: Apache Corporation

APACHE CTO MIKE BAHORICH TALKS ABOUT Ayata

CHALLENGE

Apache Corp. is one of the world’s top independent oil and gas exploration and production companies with more than $60 billion in assets and operations in the U.S., Canada, United Kingdom, Australia, Egypt and Argentina. Apache uses thousands of Electrical Submersible Pumps (ESPs) to pull oil from reservoirs worldwide, onshore and offshore. Many ESPs fail unpredictably resulting in missed production targets. Large oil and gas companies lose tens of thousands of barrels of oil daily due to ESP failures. Foresight into the performance of ESPs is critical to preventing unscheduled downtime or performance degradation that can impact oil and gas production. Even a modest increase in ESP performance can amount to significant gains in production and revenue.

Atanu BasuCustomer Profile: Apache Corporation

ESP for ESPs?

For operators that rely on electrical submersible pumps (ESPs) to meet their production goals, a failed pump at the wrong time is a costly pill to swallow. While great strides have been made in improving well monitoring systems, independent operator Apache Corp. and software developer Ayata are taking it one step further.

Jennifer PresleyESP for ESPs?

Underground Analytics – The Value in Predicting When an Oil Pump Fails

If you don’t enjoy working under pressure, spare a thought for the global oil industry’s electrical submersible pumps (ESPs). Powered by a high‑voltage electric motor capable of operating at temperatures of up to 300°F, the world’s fleet of 130,000 or so ESPs—located on land or under the sea bed—pumps oil to the surface at pressures of up to 5,000 pounds per square inch, from wells as deep as 12,000 feet.

Malcolm WheatleyUnderground Analytics – The Value in Predicting When an Oil Pump Fails

Ayata Celebrates Ten Years of Big Data Software

AYATA CELEBRATES 10 YEARS OF BIG DATA SOFTWARE, HELPING CUSTOMERS SEE AND SHAPE THE FUTURE WITH PRESCRIPTIVE ANALYTICS

AUSTIN, Texas – May 28, 2013 – Ayata, the inventor of prescriptive analytics software for big data, is celebrating its 10-year anniversary. Ayata started as a research laboratory for developing the third and final stage of big data analytics – prescriptive analytics. Since then, the company’s prescriptive analytics software has been used by major high-tech and energy customers such as Cisco, Microsoft, Dell, and Apache Corporation to manage sales, improve customer service, launch new products, streamline parts logistics and increase oil production.

Atanu BasuAyata Celebrates Ten Years of Big Data Software