First Intelligent multilateral TAML5 wells on Filanovskogo Field is the great example of how new technologies help to optimize CAPEX, and, thanks to higher productivity index, achieve higher production rate. Multilateral well geometry combined with ability to monitor and control each leg separately helps to optimize flow patterns, prolongs well life and contributes to higher cumulative production. The paper focuses on well design, project execution and production results. In order to achieve results, work was done in several phases: Choose well design which would optimize CAPEX and allow to reach production and recovery targets.Perform two trial jobs on existing mature field to learn technology and prove the concept.Use experience gained on trial jobs to optimize requirements, well design and procedures.Execute the job, control and manage execution to ensure compliance to the plan.Review first production results and estimate benefits obtained from project execution. This paper describes all the steps focusing mainly on installation procedure, execution and production results review. As a result of the work done, LUKOIL successfully installed two first intelligent TAML5 completions on Filanovskogo field and achieved ~20%-60% higher production than on nearby single bore wells (up to 38000 bpd). This first wells proven that contemporary intelligent and multilateral completion technologies are mature enough to deliver consistent results. Production results show that actual productivity index matches predicted one. This shows once again that intelligent multilateral well design gives a number of benefits, such as slot preservation, higher productivity indices, faster production buildup and can facilitate reaching higher cumulative production from the field. The paper describes introduction of complex intelligent multilateral well design on the field. This practical example can be used for future reference by drilling and production focused petroleum industry professionals to better understand benefits and limitations of existing technologies. Actual production result can also be used as a benchmark for field development planning.
The maintenance of Western Siberia oil production levels has required the industry to evaluate and develop ever more complex reservoirs. In this case study we look at the evaluation of the heavy oil bearing field located in the north part of Western Siberia and specifically the unconsolidated Pokurskaya formation of the Cenomanian age. The specific evaluation requirements included an understanding of the oil properties, especially viscosity and its variations, and an understanding of recovery factor by an analysis of residual oil saturation. In order to accomplish these objectives an extensive suite of log data was acquired including standard triple combo data, cross-dipole acoustic, NMR, micro-images, spectroscopy and formation tester samples and pressures.In this paper we show how an innovative use of NMR data allowed us to improve the fluid model and irreducible water saturation calculations. Combining NMR with standard data allowed a prediction of the residual oil saturation. Additionally, from the NMR data we were also able to extract oil viscosity information, however we needed a calibration point and for that a formation oil sample was required.Unconsolidated formations saturated with viscous oils are notoriously difficult to sample with formation testers. Sand production can lead to contaminated samples, tool plugging and even borehole collapse. To avoid these issues we included dipole sonic data to estimate formation strength in order to select the optimal sampling locations. Additionally a new 'dual intake' straddle packer configuration was used to optimize the fluid sampling. As a result of these precautions samples were successfully acquired and the resulting PVT data was used in field development planning as well as calibration points for a continuous NMR-derived viscosity curve. Advanced logging suite for Pokurskaya formation studying PetrophysicsAs industry attention turns to ever more difficult and complex reservoirs to exploit the complexity of the attendant petrophysical interpretations increase. Case in point is the Pokurskaya formation of the Messoyakha field in the Yamalo-Nenets Autonomous Okrug. To date no integrated log-core data analysis has been performed on this formation due in part to poor core data/recovery and incomplete log data sets. In this paper we describe how we performed such a study accounting for complexities such as multiple clay and matrix components, sorting variations, variable fluid saturations and viscous oil. We divided out study into two phases, an elementary analysis of the mineral composition and a fluid model. The primary outputs of the elementary analysis (ELAN) is a total pore volume and a clay volume. By using geochemical log data from a neutron capture spectroscopy log (ECS*) it is possible to evaluate the mineralogical components, resolve the clay components and then refine the total porosity estimation. We note that the neutron capture spectroscopy measurements is independent of external information, a significant advantage in our case as we had no core data...
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