Intelligent Pumps for the Digital Oilfield Selection

ARC has been conducting research related to Intelligent Pumps technology for over a decade.  Recently ARC conducted detailed research specifically for the emerging digital oilfield.  Based on this research, ARC analysts have developed a comprehensive set of criteria to help you select the best intelligent pump solution available in the market.

Overview

The complex nature of oil and gas production coupled with the fluctuating market forces in the oil and gas industry make the need for the digital oilfield greater than ever.  A key requirement for the digital oilfield is the accurate and reliable control of flow from the wells and throughout the oilfields.  Historically, pumps have not been intelligent, and therefore could not provide remote personnel sufficient command and control.  Different pump technologies are required depending on such factors as pressure and temperature, as well as the condition of the oil that is being pumped.  For example, certain pumps are better suited for artificial lift, while other technologies are best for multi-phase, while other technologies are best for high volume.  Also, considerations must be made as to the conditions of the material to be pumped.  Crude oil is typically very viscous and may contain entrained gases, or solid mater.

Selecting the correct intelligent pump can be crucial to the operation of your oilfield.  Failure to utilize digital commands and information correctly can influence oil and gas production, oilfield efficiencies, and safe operation.  The selection guide will help you understand the following issues:

Intelligent Pumps for the Digital Oilfield Selection Strategic Issues

• Compatibility with current installed assets and other oilfield technology  

  

• Breadth and depth of supplier’s applications and related operations solutions
• Support, training, and spares
• Understanding the total cost of ownership for OEMs and end users
• Architecture integration based on standards
• Integration with IIoT strategies and business systems
• Designs for maximum reliability
• Supplier long term viability
• Identify long term visions