The subject of the article is a new approach based on the integration of seismic facies analysis with modeling of sedimentation system – submarine fan, which is a potential lithological trap. The new approach allows introducing sedimentation systems modeling into the traditional process of seismic data interpretation. The approach was tested on data of the target interval in Cherkashin formation (West Siberia, Priobskoye-Salym region, Neocomian progradation complex). The presence of submarine fans selected as test-subjects for modeling is confirmed by lithofacial analysis, distribution of effective thicknesses over the area according to drilling results, seismic facies analysis. Two criteria were used to evaluate the simulation results: compare the shape of the model with the results of seismic facies analysis and comparison of the parameters describing the geological process and selected in the modeling process with modern data on turbidite systems. Modeling of submarine fan sedimentation was carried out in the Geological Process Modeling (GPM) module of the Petrel software (Schlumberger), Seismic Facies Analysis – in tratimagic software (Emerson). The approach can be recommended for studying of deep-water Achimov deposits; predicting the development of the distal parts of the submarine fan, not evident in the seismic data and predicting the internal architecture of the potential lithological traps.

Western Siberia is a unique geological area for testing different approaches of sequential stratigraphy and their impact on deep-sea sediment architecture. There are many different various techniques allow us to reduce geological uncertainty and predict distribution and architecture of deep-water sediments. The architecture of deepwater sediments is influenced by the basin topography and volume of sediment supply. In this paper the main factors and their influence on the deep-water sediments accumulation will be considered. This approach was used for prediction distribution and quality of deep-water sediments in poorly studied areas. Progradation and retrogradation trends, topography of basin floor and shelf`s edge trajectorywere analyzed to determine an effect. Based on empirical estimation, it has been determined that the most important factor is the trajectory of change of shelf`s edge and topography. There was no apparent correlation between the quality of deep-water sediments and the amount of volume sediment supply. All of this data and correlation was used for estimation potential of the achimov formation in poorly studied areas.

The paper presents mathematical patterns that allow petrophysical modeling of the basic static and dynamic filtration-capacitive properties of rocks. The considered generalized laws are a mathematical expression of the concept of connected pore space and are obtained on the basis of a general model of effective pore space, based on the results of computer modeling of 3D percolation gratings.

Achimov formation deposits are a perspective source of reserves replenishing and maintaining production. The objects associated with these deposits have an extremely complex structure and high heterogeneity both in plan and in section. Some experience in study and development of Achimov deposits is collected. Effective study and development of such objects as the Achimov formation requires an individual technological and methodological approach. From the point of view of the research methodology, the most rational and comprehensive approach is the system analysis approach, the essence of which is to isolate and study the properties of geological body systems, the components of which have certain structural and genetic relationships. Already at the early stages of exploration, in conditions of lack of information, it is necessary to have a complete understanding of the object structure geological features, affecting the further development and economics of projects. In addition, for the qualitative compilation of research programs, reliable prediction of the objects properties and optimal development strategy and method selection, a consistent systematization and intellectual analysis of the available information are required. This can be achieved by creating an expert system that allows to integrate knowledge and experience about the target object at all levels, conduct intellectual processing of the available incomplete and often inaccurate information, offer analogues and technological solutions using machine learning and data analysis algorithms. The basis of the expert system is the knowledge base. In this paper, we consider the use of machine learning in creating a knowledge base as its basis.

The paper considers a semi-analytical model for the water-injection well critical pressure estimation at which the fracture will initiate. The model is based on the Biot`s theory of poroelasticity and the algorithm based on the Fourier transforms and the finite difference method was used to solve the problem. The solution involves a sequential calculation of changes in the reservoir pressure distribution and changes in rock stresses using plane-stress approach for a periodic development element. For the cases when the assumption of the homogeneity of the elastic, strength and formation reservoir properties is unacceptable three-dimensional geomechanical modeling algorithm is used, taking into account the actual geological parameters of the formations and the results of hydrodynamic modeling using historical data. In addition, a semi-analytical model for the water-induced fracture breakthrough interval (in height) estimation is proposed. The model includes the following parameters: formation pressure, injection speed, fluid viscosity and injection time. The model is based on the net pressure calculation for a rectangular hydraulic fracture in the leakage dominant regime (Perkins–Kern–Nordgren model). The model uses a 1D geomechanical model and reservoir properties as an input data. The breakthrough interval is calculated iteratively with the assumption of the fracture height at each step. The additional net pressure is calculated using the distribution of permeability and formation elastic properties. If this pressure exceeds the compressive rock stresses in the neighboring layers, then the water-induced fracture will grow vertically into the neighboring layers. The iteration continues until the vertical growth stops. The resulting techniques can be used for waterflooding process control and development system optimization.

The application of miscible displacement technology is associated with significant risks and uncertainties. Therefore, it is important to plan a lab programme carefully with the aim of mitigation or eradication of those risks at the design stage. This stage conventionally includes lab analysis, pilot projects, simulations, an analysis of and interactions with potential technology suppliers, etc. This article presents an overview of an adequately detailed laboratory research programme required to apply miscible displacement, and also highlights the important aspects of each experiment that deserve consideration.

In this paper, semi-analytical model of waterflooding by parallel horizontal wells with transverse water-injection induced fractures has been reviewed for low-permeability reservoirs. The numerical experiments can be divided in following stages: equilibrium pressure of stable water-injection induced fracture existence estimation; evaluation of the critical equilibrium pressure of the injection-induced fractures and estimation of the conditions for the stable fracture growth; evaluation of the critical injection fluid rate for the stable fracture growth; prognosis of the fracture growth dynamics. The main idea of the proposed work is to obtain the conditions of the stable fracture existence. This situation is possible in the late stages of field development, when oil production is compensated by fluid injection, and the pressure distribution does not depend on time. Numerical modeling shows the existence of the critical fracture half-length and pressure, after which the equilibrium of injection-induced fractures becomes unstable. Before this critical fracture length is exceeded, the fracture growth can be controlled by bottomhole pressure and flow rate, since each subcritical length of the equilibrium existence of a fracture corresponds to its equilibrium pressure and flow rate. It is possible to control fracture growth before its unstable state, knowing this pressure and flow rate. The early fracture growth can be estimated by the analytical formula for the fracture half-length in the so-called Carter regime. These results were obtained for specific parameters of the development system, but can be scaled to another homothetic system. The developed model will help to understand the fundamentals of water-injection induced fracture initiation and poroelasticity, as well as develop methods that allow to control and regulate the growth of water-injection induced fractures.

Paper presents the results of integrated analysis of historically available data and additional field studies at the brown field. The results of the analysis increase the reliability of the geological and hydrodynamic reservoir model, current recovery and identification of areas, which are most promising for production enhancement operations for production increase and recovery increase. The integrated analysis of available data includes such tools as prelaminar data analysis of production and pressure changes (Prime) for high level reserves localization, multiwell retrospective testing (MRT) and pulsecode testing (PCT) for evaluation of reservoir geology, sweep efficiency and current reservoir saturation, geological and hydrodynamic reservoir modeling including petrofacies and model adaptation to the production logging, MRT, PCT and well-testing findings, multi-scenario development planning (MSDP) for the most economically profitable operations recommendation and supervision of their implementation. MSDP is based on the usage by several teams of reservoir engineers web-facility PloyPlan, which automatically translates the field activities (like drilling, workover, conversion, surveillance, etc.) into the model runs and reverts back with production and surveillance results and financial statements, based on which it is easy to choose the most profitable field operations. Up to today Prime analysis, field studies and reservoir model calibration on their results are finished.

The article discusses a new technique for optimizing the calculations of the integrated model, all stages of the calculations are analyzed. The analysis of the necessary input data for the integrated model is carried out and the definition of the calculation results according to the obtained method is given. Comparison of calculations using the developed method and a commercial package is obtained. Opportunities for applying the obtained solution are proposed.

In the world of continuous change and volatility, benefits and results of investments made by companies into research and development (R&D) projects have to be transparent for management of a company in order to make timely and appropriate investment decisions. The paper discusses prospects of post-implementation review of R&D projects, process complications the company faced and its interaction with key related processes of the technology strategy: diffusion among affiliated companies, education and commercialization. Any technology project strives to deliver both technological and economic benefits to a company. While technological success is usually the focus of a project manager, the economical results are overseen by the management of a company and used as a source for action. An overview of best industrial practices is given, later compared to the approach employed by the upstream division of Gazprom Neft company. The latter presents general process and key principles, including process initiation triggers, stages and KPIs used for the monitoring. The importance of technology diffusion is discussed, specifically the impact of technology readiness level on the success of a project is considered as well as necessity to develop “fail fast” culture in the company in order to have higher success ratio. Interconnection between the diffusion of a technology and the amount of intellectual property created by the technology is studied. The need for alignment to the company’s strategies by the project teams is revealed as well as continuous education methods are presented. The conclusion contains results and ways for improvement of the postimplementation review process in the company.