FECHA: 27 de junio a las 11:30h Arg (GMT -3)

Participación virtual on line por Microsoft Teams

Informes e inscripción: AQUÍ

Disertante: JOHN DE WARDT – Presidente de De Wardt & Company.

Abstract

Currently, 70 percent of global oil is being produced from mature fields. The waterflood process is widely used to improve the oil recovery of mature fields. Unlocking the potential of existing mature assets and the optimization of waterflooding can be challenging using traditional dynamic modelling workflows due to high well count, years of historical production data (extensive data set), complex stratigraphy, etc.; however, these challenges create opportunities for applying data-driven techniques. In addition, increased attention towards reducing carbon emissions makes data-driven techniques more attractive as they are computationally-light techniques.

First, this work reviews classical analytics for studying the waterflood process; after that, machine learning techniques are used to optimize rates of water injector wells for maximizing the production efficiency. Next, an innovative hybrid physics-guided data-driven method is presented to accelerate field development and locate the remaining oil (LTRO) process from months to weeks. The results of this new workflow are validated against outputs of the numerical simulation and 4D seismic info. Furthermore, the comparison of post drilling results and predictions of the new physics-guided data-driven workflow is presented for a field located in the Middle East. This presentation demonstrates that it is now possible to deliver digital LTRO projects, capturing the full uncertainty ranges, including complex multi-vintage spatial 4D datasets, and providing reliable non-simulation physics-compliant data-driven production forecasts within weeks. This presentation addresses the challenge of reducing mature fields study resource intensity and therefore, time and costs whilst maintaining a high degree of fidelity.

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Bio

John de Wardt is a recognized Upstream Global Consultant delivering operations and business process improvement across the full supply chain of drilling, completing and abandoning oil and gas wells.   

John has 48 years of management and technical experience and has worked in 36 countries. He is a Chartered Engineer, a Fellow of the Institution of Mechanical Engineers, a Distinguished Member of SPE and Director Emeritus of SPE Drilling Systems Automation Technical Section (DSATS).  

John is an industry thought leader who regularly presents on new and novel practices. He has authored 46 published papers and articles and led 21 industry forums, workshops and symposiums as well as been a committee member & session chair for the SPE / IADC International Drilling Conference for 19 years. John is a Distinguished Lecturer of SPE in 1995 / 96 and 2020 / 21. He has been a member of SPE for 45 years.  John founded and led (Program Manager) the industry initiative that developed the Drilling Systems Automation Roadmap – www.dsaroadmap.org He also hosts and maintains the industry website sharing knowledge on Drilling Systems Automation – www.dsabok.org