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Saint Petersburg 2018
- Conference date: April 9-12, 2018
- Location: Saint Petersburg, Russia
- Published: 09 April 2018
21 - 40 of 230 results
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Fracture Density Evaluation with the Use of Geomechanical Analysis
Authors E. Zubova and D. KonoshonkinSummaryFracturing model is required for reasonable development planning of fractured reservoirs. Discrete fracture networks (DFN) are generally used for these purposes. Input data relative to parameters of fracture systems at the interwell space particularly fracture density and direction are necessary for correct construction of DFN.
This work is dedicated to comparison of real fracture density and direction which were measured on outcropping with numerical simulation results and geomechanical parameters calculation relative to deformation and stresses. This comparison allows connection of geomechanical parameters with fracturing parameters and drawing of conclusion that geomechanical analysis is appropriate for fracturing prediction.
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The Ratios of the Main Stresses in the Wellbore in Carbonate Rocks
Authors M. Salimov and D. KonoshonkinSummaryThe efficiency of drilling is very important for oil companies. One of the most important areas of application of rock mechanics in drilling is the solution of the problem of failure of the walls of the wellbore. In this work, the case is considered when, at different depths, the shape of the wellbore breakouts changes from elliptical to toroidal. Based on the results of the analysis of the geomechanical model, it was shown that the change in the shape of the breakouts is associated with a change in the inclination of the well and the redistribution of stresses.
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Risks and Uncertainties Analysis in Geological Exploration
Authors V.Yu. Kerimov, A.V. Bondarev and R.N. MustaevSummaryOne of the main tasks facing geologists at different stages of geological exploration is the analysis of risks and uncertainties, to evaluate and minimize the consequences of which it is necessary to systematically study hydrocarbon systems and their elements - source rock, reservoirs, fluid, traps, and processes - generation, migration and accumulation of hydrocarbons.
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Investigation of Source Rock on the Results of the Complexing of Geochemical and Voltage Researches
Authors E.I. Vasilenko, A.V. Osipov, M.V. Zaharchenko and I.M. SalihovaSummaryWhen investigating and evaluating the generation potential of oil-bearing strata, the necessary parameter is the value of organic carbon, which is estimated by geochemical studies of well sections, which allows to analyze the carbon content of organic origin with high accuracy. However, its use is limited to core removal. In this paper, we discuss the results of using gamma-ray logging to evaluate organic carbon in complex geological and geophysical studies of the deep wells of the Volga-Ural NGP. The basis for this is the lithological and geophysical properties of the rocks, which form the sections of deep wells.
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Conditions for Forming and Prospects of Searching Hydrocarbon Deposits in the Kyulong Basin (Vietnam)
Authors V.N. Hai and E.A. LeonovaSummaryThe report examines the conditions for the formation and prospect of hydrocarbon deposits in the Kyulong basin (Vietnam). According to the results of the three-dimensional basin modeling, 44 clusters in the Miocene and Oligocene sediments have been identified, including 33 clusters corresponding to structures in various blocks in which reserves and 11 new clusters in the Kyulong basin were estimated.
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Organic Porosity - the Factor of Hydrocarbon Accumulations in the Source Rock
Authors V.Yu. Kerimov, M.V. Zaharchenko, M.M. Lyushin and R.N. MustaevSummaryThe report considers such factor of formation of hydrocarbon accumulations in oil-bearing strata as organic porosity. Organic porosity is a void space of organic origin, formed as a result of the transformation of organic matter and the generation of hydrocarbons. Organic porosity can be captured and measured not only by electron microscopy, but also calculated on the basis of pyrolytic parameters determined by the Rock-Eval method.
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Application of SWI and FWI for Building Near-surface Velocity Model and Improving Seismic Image Quality
Authors V. Korobkin, A. Burlakov, K. Kudryavtsev and D. TverdokhlebovSummaryBuilding near-surface velocity model for static computation has traditionally been a crucial step in land data processing. As PSDM technologies expanded, building an accurate shallow velocity model has become an important step in the construction of full PSDM velocity model. The most popular velocity modelling techniques are based on the analysis of refraction and reflection kinematics. Each of these techniques has its inherent limitations.
Refraction-based methods rely on the first break picking, which cannot always be done at the required quality level because of absorption, velocity inversions and interference with other types of energy. The use of reflected events is often impeded by limited offset range and low signal to noise ratio in the shallow intervals of data. Majority of the reflection-based methods make use of the kinematics of a single strong event, which often occurs at a substantial depth. Velocity distribution above this depth is approximated by a simplified model. Besides, the dynamics of data stay totally beyond the scope of these techniques.
The paper presents new near-surface modelling methods - Surface Wave Inversion and Full Waveform Inversion. Based on different physical principles, these methods overcome limitations of the conventional approaches and allow creating detailed and accurate velocity models.
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The 4D Regularization of Common-offset Seismic Data
Authors G.F. Zhernyak and V.V. MiroshnikovSummaryThis paper deals with the problems of common-offset series wave field interpolation. The common-offset field is computed using kinematical weighed traces moveout to the regular CMP bin grid with the (t,x,y,l) coordinates. If a bin summarized weight is below the threshold, then it remains empty. Regularization areas contours turn out to be very rough and contain sharp spikes and dips. This may result in artifacts rising with wave field migration. Uneven contours smoothing with spikes elimination and interpolation of empty bins is necessary. The 4D interpolation is carried out in the space-time frequency domain by the Minimum Weighed Norm Interpolation (MWNI) method. For improving the interpolation quality, spectra are counted using overlapped (t,x,y) windows. The problem of contours smoothing turns out to be ambiguous due to its multifactorial criteria.
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Carbonated Water Injection: a Green Solution for Heavy Oil Production
Authors M.J. Shokri Afra, M. Bahaloo, B. Rostami and H. NorouziSummaryThe performance of CWI is studied using five different oils by various viscosities through a series of high-pressure core flooding experiments. The results revealed the capability of CWI to recover higher incremental oil in comparison with water injection (WI). The creation of a low resistance flow channel and low oil recovery in WI, is compensated by CO2 diffusion from CW to oil, subsequent viscosity reduction and oil swelling during CWI. Also it found that higher reservoir oil viscosity has an adverse effect on WI and CWI performances which leads, the mobility ratio deviates from the ideal value and poor sweep efficiency causes lower oil recovery. Moreover, comparing the results of CWI and WI revealed that, nearly 28% oil recovery improvement was obtained in oil A, that reached 49.5% for oil E, with higher oil viscosity. This improvement demonstrated the advantage of CWI for heavy oil reservoirs. From the CO2 storage point of view, a remarkable fraction (ranges between 20% and 33% for different oils) of total volume of injected CO2 was stored at CWI. Thus, it was concluded that CWI has a great potential to permanently store the injected CO2 while significantly improving oil recovery in heavy oil systems.
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Testing the Resilience of the Rod-like Biopolymer Schizophyllan to Various Types of Mechanical Stressing
Authors G. Incera Garrido, F. Lehr, S. Mukherjee, D. Prasad, P. Aditama, S. Reimann, M. Ranft and B. ErnstSummaryThis paper addresses the mechanical stability of the biopolymer Schizophyllan for stressing conditions commonly occurring throughout an EOR process. Differences between laboratory and field testing and the importance of a realistic test design for a successful field application are highlighted. Analytical methods, challenges and learnings encountered during method development are also presented.
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Automatic Interpretation of Facies from Wireline Logs by Using Hierarchical Machine Learning Approach
Authors D.V. Egorov, N.V. Bukhanov, B.V. Belozerov and V.S. RukavishnikovSummaryThe objective of this research was examination of machine learning algorithms in combination with a priori geological information applicability for automatical facies distribution from wireline logs problem. This study was based on data from Field M located in Western Siberia which can be characterized by complex geology making results of examination reliable.
During the project different classification algorithms were evaluated to find the most appropriate one for automatical facies interpretation task. Classifiers were trained and tested on data from Field M, produced results were compared by different metrics.
At the next step chosen classifier (Random Forest algorithm) was used for comparison of two machine learning approaches - standard and hierarchical. The latter uses a priori geological information, in this study facies zonation map acted as such information. Application of this expert knowledge during automatical facies distribution allows separation of the initial data set into subsets to simplify classification task and improve prediction accuracy.
Finally, developed algorithm was performed on the entire oilfield including more than 700 wells to justify its applicability for real industry problems.
Previously mentioned steps were conducted with aid of originally developed Python script which can be integrated into any software environment to automate facies interpretation process.
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The Forecast of the Oil and Gas Presence in the Sedimentary Cover of the Northern Part of the Predverkhoyan Foredeep
More LessSummaryThe 2D seismic data and drilling results has been analyzed for the northern part of the Predverkhoyan foredeep. The stratigraphy, lithology and geochemistry studies have been carried out. The forecast of oil and gas presence has been fulfilled.
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Geochemical Estimation of Hydraulic Fracturing Efficiency in Non-conventional Reservoirs
Authors A.N. Moroshkin, A.Yu. Samoylenko, A.Y. Kuklinsky, A.V. Ermolovsky and N.N. PolskayaSummaryCurrently the directional drilling combined with hydraulic fracturing are the most promising and economically feasible mechanisms for shale oil and gas production. There are different methods of fracture distribution estimation resulting from hydraulic fracturing including geochemical ones. Abstract considers in general the stages of geochemical efficiency estimation of hydraulic fracturing in non-conventional reservoirs and shows the possibility of its complex use in determination of HC fluid appurtenance to the bed in development.
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Description of the Geological Structure and Hydrocarbon Potential of Lugovskogo License Area of the Barents Sea According to Seismic 3D
Authors V. Borodkin, A. Kurchikov, V. Samitova, A. Lukashev, A. Nedosekiv, O. Smirnov and A. PogretskiySummaryThe article describes the tectonic location of study area and position it with the point of view of petroleum-geological zoning, and the main oil and gas complex (NGK). In the Triassic, Jurassic and burrascano and the Aptian-Albian-Cenomanian NGK given seismological model, the conditions of formation of deposits, promising the facilities set the optimal amount of exploration drilling. The complex of symptoms reported the presence of processes of vertical migration of hydrocarbons contributing to the formation in the Cretaceous part of the section secondary of hydrocarbon deposits.
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Mathematical Modeling of Deep-bed Filtration of Dilute Suspension
By D. SidorovaSummarySome problems of deep-bed filtration of dilute particulate suspension are discussed. An inverse problem of kinetic coefficient identification as a function of suspension concentration and suspended particles relative size is considered with the use of published data for porous samples exeriments. Some exact solutions of flow of suspension through long porous sample are given.
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Fractures Clusterization Applying K-means Method Using Microimage Log Data for Fractures Characterization
Authors G. Burtsev, P.A. Kharitontseva and I.A. UzhegovaSummaryThe purpose of the work is the microimagers log data analysis.
Calculations were performed in Mathcad, Statistica and Excel software packages.
Nelson’s fractures classification was used for the completion of the fractures clusterization. Nelson’s fractures types distribution along the wellbore was acquired. The clusterization was done using k-means algorithm, whose description was also provided.
The methods used in the text can be used in the construction of fractured reservoirs geological models and for the considering of permeability anisotropy during reservoir simulation and well placement scheme design. Nelson’s fractures clusterization can help with the determination of reservoir dominate fractures type.
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Investigation of N2-Composition in CO2 Gas Mixture for EOR Purpose
Authors E. Ghanaatpisheh Senani, H. Behmanesh, S. Kord and S. BairamzadehSummaryIranian oil reservoirs were screened according to standard screening criteria. The CO2 flooding performance for the selected reservoirs was evaluated by CO2-Prophet at one hydrocarbon pore volume injection, and their recovery profile was compared together.
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3D Channel Reservoir Characterization Using a Model Selection Scheme for Fast and Reliable History Matching
More LessSummaryIn this study, we use ensemble Kalman filter (EnKF) for the optimization of the reservoir models. EnKF uses multiple models, which enable stochastic analysis of the parameters. However, analysis of a large number of models brings huge simulation costs. Also, even though the models are updated after applying EnKF, poorly-designed initial models still lead to wrong estimations.Our method is to select good initial models before applying the EnKF algorithm. We use principal component analysis (PCA) for hundreds of initial models to discover some common trends of the permeability distributions in the models. After projecting the models onto a 2D principal component plane, the model with the smallest error is selected as a representative and we choose 100 models near it for our history matching analysis. This process can reduce simulation time in EnKF as well as increase prediction quality on reservoir performances.We show our works in 3D channel reservoir case and the proposed method improves in both time and reliability of the analysis. What is more, since we use only a quarter number of initially generated 400 models, the simulation takes 75% less time when compared to the original case.
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Sensitivity Analysis of the Impact of Geological Uncertainties on DFN Model Construction (Field X)
Authors A. Bloshkin and P. KharitontsevaSummaryFractured reservoirs consist about 60% of the world’s proven oil reserves and 40% of the world’s gas reserves [ 1 ]. It is logically to suggest future interest increasing of production because most of highest classic clastic reservoirs are discovered and developed for many years. One of the prospective areas is basement of Western Siberia in Russia that have negligible amount of investigations.
Fractured reservoirs have complex lithology and composition comparing with clastic reservoirs. Understanding of fracture characteristics is necessary for oil and gas companies that spent huge amount of money with little effect. Many decisions lead to non-effective drilling and development strategies according to low level of knowledge about fractured reservoirs.
It is important to understand nature of fractured reservoir system, understand how fluid filtration is happened, what ways it used and what the main influence parameters on fluid flow.
Modelling of fractures reservoirs is useful tool for prediction behaviour of reservoir despite on many uncertainties during modelling. Reducing uncertainties and finding keys for knowing how modelling it is more fully leads to achieve optimum recovery and maximum profit for oil companies.
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Semi-Analytical Assessment of Condensate banking effects in Fracture Design and Optimisation of Gas-Condensate Reservoirs
More LessSummarySemi-analytical expression for the optimum fracture length is derived for single phase and two phase Darcy flow below and above the dew point pressure in which the effect of condensate banking was incorporated. Results showed that the proposed semi-analytical procedures reasonably coincided with the results obtained from the numerical simulation. These semi-analytical expressions, hence, can be used as simple and less-time consuming method to evaluate the optimum fracture lengths for gas-condensate systems.
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