Intelligent Field Infrastructure Architecture, Components, and System Data Flow Overview

Management and Information


The field-to-desktop data acquisition and delivery infrastructure system is the backbone of the Intelligent Field surveillance layer, the first building block of the Intelligent Field architecture. This layer includes the instrumentation (surface and subsurface), communication network infrastructure, data acquisition system components, application interfaces to the end user applications in support of production engineering and reservoir optimisation. This complex integrated system must be designed with embedded resiliency to meet Intelligent Field data acquisition and delivery requirements. These requirements cover data type, frequency, resolution, security, integrity, quality, reliability, and no data loss tolerance measures.

Field measurements and control are critical in optimising production, recovery, and managing hydrocarbon reservoirs. The industry has come a long way from making periodical measurements to where wells and reservoirs are being monitored continuously using various sensing technologies.

This course provides detailed technical overview of the different I-Field Infrastructure components including Electrical Submersible Pump (ESP), Multiphase Flow Meters (MPFM), Permanent Downhole Monitoring Systems (PDHM), Smart Well Completion, Surface Instrumentations, and the Supervisory Control Data Acquisition and Application Systems. This session will also include an overview for data flow journey for from the sensor to the engineer’s desktop. Case study scenarios will be used to demonstrate best practices as well as optimal deployment strategies.


Soloman Almadi

Soloman Almadi is currently a professional engineering consultant in communication, process control systems infrastructure, system integration, and intelligent field in Saudi Aramco, Saudi Arabia. He has over 20 years of experience at different capacities in the engineering, planning, and deployment of network and system solutions. Soloman holds a PhD in simulation and computing from Brunel University, UK, an MS degree in electrical engineering from Southern Methodist University, USA, and a BS degree in electrical engineering from University of Texas, USA. He has published several IEEE and SPE technical papers in networking, system automations, computing, simulations, and intelligent field.

Tofig A. Al-Dhubaib

Tofig A. Al-Dhubaib was a senior petroleum engineering systems consultant at Saudi Aramco. He has over 25 years work experience in upstream computer applications development and systems support. He is one of the key participants in the development and support of Saudi Aramco’s intelligent fields. Tofig holds a BS degree in Electrical Engineering from KFUPM, an MS degree in electrical engineering from Drexel University, and completed his post-graduate studies in computer and electrical engineering. Tofig has authored and co-authored several SPE technical papers on Saudi Aramco’s intelligent field.