This paper addresses burning problems of Rock Physics modeling as applied to carbonate rocks. These problems include: a choice of Rock Physics method to relate the model’s parameters with experimentally measured elastic properties; construction of a model medium that reliably describes the rock microstructure at respective scale; a correspondence of Rock Physics model scale with the experimental scale. Special attention is paid to reservoir rocks of complex structure. For these rocks, incorrect description of isometric porosity distribution may lead to erroneous interpretation of change in velocities as effect of fractures. A separate section is devoted to Rock Physics modeling of fractured rocks at the seismic scale, which is based on results of geomechanical modeling.

The paper presents the results of modelling the fields of fracture parameters in vicinities of large faults. Zones of developed fracture networks are determined based on geomechanical modelling alongside with such parameters as relative density and preferable spatial orientations of critically stressed fractures, which, under certain assumptions, are related to hydraulically conductive fractures. The faults of different types are considered with main tendencies in fracture parameters evolution while approaching the fault being analyzed.

The paper presents methodological solution to the problem of construction of integrated petrophysical model of unconventional and complex reservoirs based on the special core analysis results. The proposed approaches are consisting of the adaptive core evaluation program and the data processing algorithm in condition of uncertainties in the one or few components of the rock model.

Chayandinskoye field is the unique field of East Siberia that contains large amount of natural gas, when oil rim places not wide area. The main oil reserves are concentrated on Botuobinskiy formation of Vendian terrigenous complex. The specificity of Botuobinskiy formation is the presence of salt on sandstone pore space, which is the cause of net pay thickness decrease that can reduce oil reserves down to 10 per cent. Moreover, salted layers lead to sandstone compartmentalization that has an effect on reserves recovery. It is necessary to predict salted zones location for reduction of reserves disconfirmation, choice of optimal oil recovery system and reliable decision for future investment. In this article the hypotheses of salinization are considered and way that allows salted zone prediction is suggested.

The article gives the results of field studies of the maximum thawing depth of fill-up ground, to be used for the design of engineering training. The results of geotechnical monitoring are presented and compared with the predictive thermotechnical calculations using various methods.

Multiwell deconvolution allows to select a specific reaction to a change this or other well operation processes of a particular well and to obtain interpretation it in traditional methods. When using multiwell deconvolution opportunity appears to evaluate and to take account of noise effect on the pressure curve. In addition this approach greatly simplifies the interpreting of the curve since it allows to more easily and reliably diagnose the interpretative reservoir model. A new approach to the construction of the self-influence function and influence functions is proposed namely their representation as the sum of the elementary functions that characterize individual filtration modes in the reservoir. The influence of the wellbore storage is represented as an exponent, the bilinear flow is in the form of a fourth root, the linear flow is in the form of a square root, the radial flow is in the form of a logarithm, the influence of boundaries is in the form of a linear function. With this approach, the coefficients of the functions of influence and self-influence are represented linearly, so the Newton method can be used to determine them. This method was tested using the synthetic pressure curve. When achieving a good fit of simulated and deconvoluted pressure curves, it was found that the given in the simulation and received in the interpreting of synthetic and deconvoluted pressure curves parameters of the reservoir were match almost identically so this proposed approach is very effective.

The paper presents a mathematical model of the formation of gas hydrates in a porous medium, initially saturated with gas and water, with the formation of an extended region of phase transitions. On the basis of numerical solutions, the effect of the initial parameters, as well as the parameters at the boundary of the porous medium, on the evolution of temperature fields in the reservoir is investigated.

Permanent production surveillance with downhole pressure gauges and surface rate monitoring offer the possibility to use a wide range of analyses. Gazpromneft is constantly developing and searching for new approaches for data analysis to support decision making for production optimization. One of important areas is historical data analysis. One of promising approaches in this area is a multiple well deconvolution. The paper describes this technology and field cases of its application.

Nowadays, efficiency of a multistage hydraulic fracturing of unconventional reservoirs, such as Bazhenov formation, determined by the value of stimulated reservoir volume (SRV). Creation of this stimulated volume depends on different geological and technological factors. Developed SRV forecast technique in relation to geological and geomechanical reservoir properties and operational parameters of hydraulic fracturing proposed in this paper. During the design stage proposed methodology allows to evaluate efficiency of different hydraulic fracturing treatment schedules, and in common demonstrate patterns of hydraulic fracture network growth in conditions of Bazhenov formation.

In the conditions of the long-term field development, in order to increase the productivity of wells, different geological and technical actions applied (не уверен) for production stimulation. One of such methods are perforation works (perforation of previously unperforated intervals and reperforation). Feature of this method is its low cost. Forecasting of effect can be made by a small number of initial parameters. Often gained effect from an action does not correspond to expected, therefore there is need of forecasting the results with higher accuracy.
In the provided work as subject of research the object BV₈ of the Povkhovsky field was selected(?). This object was chosen in connection with sufficient volume of actual reperforating operations: 1376 actions.
The purpose of the work is to find of dependences between influencing parameters and efficiency of actions for creation of mathematical models using standard package "Analysis of Data" of MS Excel and with the use of the Data mining methods (regression of neural network, linear regression) allowing to find candidate wells under considered type of works. The approach used in the work can be extended to other operation facilities and fields, and to other types of geological and technical actions.

For effective stimulation of wells by hydraulic fracturing requires deep engineering and technological research work. The paper shows various ways of optimization multistage fracturing operations in reservoirs with weak barriers with low stress contrast. One of the solutions of the tasks is to optimize the existing guar fluid systems to control the fracture height. To achieve the maximum effect was carried out gradual decrease the polymer concentration, used low-viscosity liquids and combined "pad" stages. Additionally, had been performing works to optimize the pumping schedule and increase its aggressiveness. To achieve the maximum effect for cleaning of the created fracture, the concentration of enzyme destructor was gradual increasing. As an alternative approach to stimulation, was chosen hydraulic fracturing on a non-polymer fluid system (surface active agent). To minimize the risks associated with STOP regime, has been implemented multi-stage completion system with reusable sleeves, which controlled by special key with involvement of coil tubing and bottom-hole pressure monitoring. As in addition methods of control had been using microseismic monitoring and different geophysical studies. Analysis of actual oil production rate showed the success of the applied approaches to achieve maximum efficiency of the stimulated wells.

Due to the increase in energy consumption, there is a decrease in hydrocarbon reserves in the continental part and an increase in offshore production. In the latter case, the reserves are almost untouched, but the process of extraction is more complex and there is a high probability of oil spills. The paper deals with the case of a hydrocarbon spill that occurred as a result of a man-made disaster. The flow of hydrocarbons coming from the well in the form of a submerged jet is considered. The study of the submerged jet flow is necessary in order to predict their further spread and the possibility of rapid localization and elimination of the spill. A system of equations including conservation laws and auxiliary relations is used to model the jet flow. The dependences of the thermophysical characteristics of the submerged jet on the vertical coordinate are obtained.