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Complex-Event Processing for the Intelligent Field

Every day, reservoir and production engineers are presented with massive streams of real-time data from all kinds of intelligent-field equipment. The existing systems for data cleansing and summary are based on batch processing; hence, engineers find it challenging to make the right decision on time and do not have the capacity to instantly detect interesting patterns as data arrive in streams. This paper addresses the architecture, implementation, and benefits of complex-event processing (CEP) as a solution for the intelligent field.

Introduction

CEP is an innovative, rising technology designed to handle large amounts of data with minimal latency in real time. This technology can aid in the detection of trends and anomalies in the data stream such as unusual buildup or drawdown in well pressure in real time. Furthermore, CEP is an event-driven solution, meaning that it is triggered by events such as changes in downhole pressure in order to perform computational logic to calculate average reservoir pressure. This process will in turn provide reservoir and production engineers with clean real-time data and notifications of prominent events.

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 167817, “Implementation of Complex-Event Processing for the Intelligent Field,” by Muhammad Al-Gosayir, Moayad Al-Nammi, Waleed Awadh, Abdullah Al-Bar, and Nasser Nasser, Saudi Aramco, prepared for the 2014 SPE Intelligent Energy Conference and Exhibition, Utrecht, the Netherlands, 1–3 April. The paper has not been peer reviewed.
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Complex-Event Processing for the Intelligent Field

01 May 2014

Volume: 66 | Issue: 5

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