Masini, Cristian (Petroleum Development Oman) | Al Shuaili, Khalid Said (Petroleum Development Oman) | Kuzmichev, Dmitry (Leap Energy) | Mironenko, Yulia (Leap Energy) | Majidaie, Saeed (Formerly with Leap Energy) | Buoy, Rina (Formerly with Leap Energy) | Alessio, Laurent Didier (Leap Energy) | Malakhov, Denis (Target Oilfield Services) | Ryzhov, Sergey (Formerly with Target Oilfield Services) | Postuma, Willem (Target Oilfield Services)
Unlocking the potential of existing assets and efficient production optimisation can be a challenging task from resource and technical execution point of view when using traditional static and dynamic modelling workflows making decision-making process inefficient and less robust.
A set of modern techniques in data processing and artificial intelligence could change the pattern of decision-making process for oil and gas fields within next few years. This paper presents an innovative workflow based on predictive analytics methods and machine learning to establish a new approach for assets management and fields’ optimisation. Based on the merge between classical reservoir engineering and Locate-the-Remaining-Oil (LTRO) techniques combined with smart data science and innovative deep learning algorithms this workflow proves that turnaround time for subsurface assets evaluation and optimisation could shrink from many months into a few weeks.
In this paper we present the results of the study, conducted on the Z field located in the South of Oman, using an efficient ROCM (Remaining Oil Compliant Mapping) workflow within an advanced LTRO software package. The goal of the study was to perform an evaluation of quantified and risked remaining oil for infill drilling and establish a field redevelopment strategy.
The resource in place assessment is complemented with production forecast. A neural network engine coupled with ROCM allowed to test various infill scenarios using predictive analytics. Results of the study have been validated against 3D reservoir simulation, whereby a dynamic sector model was created and history matched.
Z asset has a number of challenges starting from the fact that for the last 25 years the field has been developed by horizontal producers. The geological challenges are related to the high degree of reservoir heterogeneity which, combined with high oil viscosity, leads to water fingering effects. These aspects are making dynamic modelling challenging and time consuming.
In this paper, we describe in details the workflow elements to determine risked remaining oil saturation distribution, along with the results of ROCM and a full-field forecast for infill development scenarios by using neural network predictive analytics validated against drilled infills performance.
Ryzhov, Sergey (Schlumberger) | Malyshev, Vladimir (Schlumberger) | Kruchkova, Tatyana (Gazprom neft) | Zubareva, Anna (Gazprom neft) | Vasiliev, Andrey (Gazprom neft) | Maslennikova, Yulia (Gazprom neft) | Selemenev, Sergey (Gazprom neft) | Kolesova, Marina (Gazprom neft)
The pdf file of this paper is in Russian. To purchase the paper in English, order SPE-102544-MS.
The Sporyshevskoye oil field development started in 1995. In 2002 by the time when all the designed vertical wells had been drilled, practically all the reserves of the main reservoirs within the production targets were put into production. There emerged a necessity to develop the oil-water zones and marginal areas, zones with poor reservoir properties and minor reservoirs in order to maintain the production rates.
Application of horizontal drilling allowed achievement of the above tasks. Horizontal completions resulted in not only enhancement of individual well production rates, but also significantly improved the oil recovery. This goal was achieved through optimization of the development system and improved development of oil-water zone reserves and the reserves contained in the zones with poor reservoir properties. The use of the horizontal completion allows development of the reserves, which would have never been possible to produce with vertical wells because of poor economics. Another crucial achievement resulting from horizontal completions was the more efficient use of existing wells. Poor vertical producers were sidetracked; the vertical wells released due to drilling of horizontal boreholes were recompleted; the number of shut-in wells reduced.