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The world has been suffering from Green House Gases (GHG) emissions for years in the past and for years to come. Governments have started to show their real commitment through Carbon Tax, Energy Transition plans and more renewables and cleaner energy sources to replace the carbon intensive operations [1-2]. Petroleum Development Oman (PDO) has pledge to have a Net Zero emissions by 2050 with an aspirational target to reduce 50% of the current emissions by 2030. Asset M has gone through a regress assessment and opportunity identification workshops to pinpoint the strategic directions moving forward to meet that aspiration. Asset M is the 2nd Largest asset in PDO in terms of Oil and Water production. Over 0.9 mln bbls of Water are recycled on daily basis with around 54 MWs of power consumed. In line with PDO aspiration towards NZE, Asset M has pledge to reduce its emissions from Scope 1 & 2 by 50% in 2030 and net zero by 2050. As of today, Asset M is the most energy efficient asset in PDO with a GHG intensity of 0.12 t/t. The objective of this paper is to shed light on some of the best practices followed to achieve reduction in Energy consumption and GHGE in general. In 2019, Asset M emissions were estimated around 0.55 mln_tCO2e, these are mainly linked to power consumptions (70%) and flaring (15%). Due to the large Growth planned in HCM, Asset M is expected to grow additional 0.25 mln_tCO2e by 2030. To align with PDO NZE by 2050, the team took the lead to build a sustainable GHG reduction road map. The work has been structured under the Strategic A3 approach with clear metrics and timelines. A simple approach was developed to focus on the top 4 main themes: Flaring, Power consumption, Portfolio assessment and EE Awareness. Well Reservoir & Facility Management (WRFM) in addition to Fail-Less initiative were key in reducing the energy consumption from Artificially Lifted wells by the means of Conversion to a more Energy efficient Artificial-Lift types such as PCP/Rotaflex systems, PMM motors and more. cEOR (Enhanced Oil Recovery) is another front that has proven successful improvement not only in increasing the oil production but also in reducing the GHGE. Field-A Polymer set a record emission intensity in PDO with average of 0.03 tCO2e/tHC. Asset M is leading the Polymer thematic study to accelerate cEOR across Multiple fields in South leading to further GHGE reduction. A black belt (6-Sigma as part of Lean projects) was initiated in 2021 to investigate the possibility of reducing the energy consumption of the DWD pumps which are contributing 30% to Asset M energy consumption. The project managed to slash the consumption of these pumps by 25% (4 MW). This approach has paved the way for additional scope across PDO with additional 10-15 MW reduction with zero Cost.
The world has been suffering from Green House Gases (GHG) emissions for years in the past and for years to come. Governments have started to show their real commitment through Carbon Tax, Energy Transition plans and more renewables and cleaner energy sources to replace the carbon intensive operations [1-2]. Petroleum Development Oman (PDO) has pledge to have a Net Zero emissions by 2050 with an aspirational target to reduce 50% of the current emissions by 2030. Asset M has gone through a regress assessment and opportunity identification workshops to pinpoint the strategic directions moving forward to meet that aspiration. Asset M is the 2nd Largest asset in PDO in terms of Oil and Water production. Over 0.9 mln bbls of Water are recycled on daily basis with around 54 MWs of power consumed. In line with PDO aspiration towards NZE, Asset M has pledge to reduce its emissions from Scope 1 & 2 by 50% in 2030 and net zero by 2050. As of today, Asset M is the most energy efficient asset in PDO with a GHG intensity of 0.12 t/t. The objective of this paper is to shed light on some of the best practices followed to achieve reduction in Energy consumption and GHGE in general. In 2019, Asset M emissions were estimated around 0.55 mln_tCO2e, these are mainly linked to power consumptions (70%) and flaring (15%). Due to the large Growth planned in HCM, Asset M is expected to grow additional 0.25 mln_tCO2e by 2030. To align with PDO NZE by 2050, the team took the lead to build a sustainable GHG reduction road map. The work has been structured under the Strategic A3 approach with clear metrics and timelines. A simple approach was developed to focus on the top 4 main themes: Flaring, Power consumption, Portfolio assessment and EE Awareness. Well Reservoir & Facility Management (WRFM) in addition to Fail-Less initiative were key in reducing the energy consumption from Artificially Lifted wells by the means of Conversion to a more Energy efficient Artificial-Lift types such as PCP/Rotaflex systems, PMM motors and more. cEOR (Enhanced Oil Recovery) is another front that has proven successful improvement not only in increasing the oil production but also in reducing the GHGE. Field-A Polymer set a record emission intensity in PDO with average of 0.03 tCO2e/tHC. Asset M is leading the Polymer thematic study to accelerate cEOR across Multiple fields in South leading to further GHGE reduction. A black belt (6-Sigma as part of Lean projects) was initiated in 2021 to investigate the possibility of reducing the energy consumption of the DWD pumps which are contributing 30% to Asset M energy consumption. The project managed to slash the consumption of these pumps by 25% (4 MW). This approach has paved the way for additional scope across PDO with additional 10-15 MW reduction with zero Cost.
Polymer-based chemical flooding is a mature enhanced oil recovery technology that has proven to result in significant incremental oil recovery that is both cost and GHG emission-competitive compared to the oil recovered by conventional waterflooding. For such chemical flooding projects, controlling the viscosity of injected polymer solution is critical because the polymer cost is one of the most significant cost elements in the project economics. The polymer viscosity is routinely measured in the laboratory using fluid samples taken manually at different sampling points (i.e., polymer preparation facilities, injecting lines, and well heads). However, in the case of large-scale projects, such viscosity monitoring becomes time-consuming and requires dedicated field staff. Moreover, the quality of laboratory-measured viscosity is questionable due to the potential viscosity degradation caused by the oxygen ingress or polymer shearing during sampling, storage, and measurement. The inline viscometers were introduced to improve the reliability of viscosity measurements and have a better quality of viscosity monitoring. Such viscometers are relatively simple devices readily available on the market from several vendors. However, the device comes at additional costs and requires modifications at the tie-in point (bypass line, drainage, and (sometimes) communication and power lines). On top of it, operational costs include regular maintenance that the inline viscometer requires to ensure good data quality. This study introduces a data-driven Virtual Viscosity Meter (VVM) as a tool to augment the inline and laboratory viscosity measurements. Standard injector wells in a field are equipped with gauges that report injection rate, well/tubing head pressure, and temperature of the injected fluid. With such well data and viscosity measurements, calculating the viscosity becomes a machine learning regression problem. Training the machine learning regression methods on the actual inline and laboratory-measured polymer viscosity has demonstrated that VVM is a promising, high-accuracy solution with a low computational cost. The possibility of further implementing this approach to calculate the viscosity of an injected fluid was investigated using the data from several projects. Finally, the application of the VVM tool for viscosity monitoring and the limitations of VVM were discussed.
The largest polymer flood field in the Middle East is operating since 2010 with more than 40 polymer patterns and around 300 wells. Following a very diligent and complex operational procedures is essential to deliver the polymer properly to the reservoir. Throughout the past 12 years, this project went through several challenges such as injection uptime sustainability, polymer viscosity stability & polymer pumps uptime which have a direct ramification of the field polymer oil gain recovery. In 2022, the field realized the highest polymer oil gain since the project commenced, around 50% improvement in the oil daily rate compared to the past three years. These substantial results are consequences of several initiatives such as Polymer viscosity improvements due to better monitoring and improvements on troubleshooting reaction time, sustainable injection uptime with more than 85% though better maintenance & monitoring of the polymer pumps and PSUs and Polymer injection optimization: increasing polymer consumption in good performing patterns and reduce/stop in the lower ones. All these initiatives have led to significant improvements in the polymer utilization factor by around 40%. It is crucial to sustain a good performance and stable operation & injection uptime prior to the polymer phase 3 start-up where more than 400 infill wells are planned to be drilled to expedite the polymer recovery without polymer facility expansion. The objective of this paper is to shed light on the road map followed to restore value to this great project but also to provide insights to the newly introduced best practices that were developed by Marmul team and can be translated universally to any future polymer/cEOR project.
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