scholarly journals Fast Models of Hydrocarbon Migration Paths and Pressure Depletion Based on Complex Analysis Methods (CAM): Mini-Review and Verification

Fluids ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 7 ◽  
Author(s):  
Ruud Weijermars ◽  
Aadi Khanal ◽  
Lihua Zuo
Keyword(s):  
Complex Analysis ◽  
Time Of Flight ◽  
Hydrocarbon Migration ◽  
Field Development ◽  
Analysis Methods ◽  
Pressure Depletion ◽  
Order Of Magnitude ◽  
Shale Reservoirs ◽  
Drained Rock Volume ◽  
Diffusive Time

A recently developed code to model hydrocarbon migration and convective time of flight makes use of complex analysis methods (CAM) paired with Eulerian particle tracking. Because the method uses new algorithms that are uniquely developed by our research group, validation of the fast CAM solutions with independent methods is merited. Particle path solutions were compared with independent solutions methods (Eclipse). These prior and new benchmarks are briefly summarized here to further verify the results obtained with CAM codes. Pressure field solutions based on CAM are compared with independent embedded discrete fracture method (EDFM) solutions. The CAM method is particularly attractive because its grid-less nature offers fast computation times and unlimited resolution. The method is particularly well suited for solving a variety of practical field development problems. Examples are given for fast optimization of waterflood patterns. Another successful application area is the modeling of fluid withdrawal patterns in hydraulically fractured wells. Because no gridding is required, the CAM model can compute the evolution of the drained rock volume (DRV) for an unlimited (but finite) number of both hydraulic and natural fractures. Such computations of the DRV are based on the convective time of flight and show the fluid withdrawal zone in the reservoir. In contrast, pressure depletion models are based on the diffusive time of flight. In ultra-low permeability reservoirs, the pressure depletion zones do not correspond to the DRV, because the convective and diffusive displacement rates differ over an order of magnitude (diffusive time of flight being the fastest). Therefore, pressure depletion models vastly overestimate the drained volume in shale reservoirs, which is why fracture and well spacing decisions should be based on both pressure depletion and DRV models, not pressure only.

scholarly journals Comparison of Flow Solutions for Naturally Fractured Reservoirs Using Complex Analysis Methods (CAM) and Embedded Discrete Fracture Models (EDFM): Fundamental Design Differences and Improved Scaling Method

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-20
Author(s):  
Aaditya Khanal ◽  
Ruud Weijermars
Keyword(s):  
Complex Analysis ◽  
Fractured Reservoirs ◽  
Fluid Velocity ◽  
Naturally Fractured Reservoirs ◽  
Natural Fractures ◽  
Flow Distortion ◽  
Cubic Equation ◽  
Analysis Methods ◽  
Discrete Fracture ◽  
Fracture Models

The present study compares flow paths in reservoirs with natural fractures, solved with Complex Analysis Methods (CAM), to those solved with Embedded Discrete Fracture Models (EDFM). One aim is to define scaling rules for the strength (flux) of the discrete natural fractures used in CAM models, which was previously theoretically defined based on the expected flow distortion. A major hurdle for quantitative benchmarks of CAM with EDFM results is that each of the two methods accounts for natural fractures with different assumptions and input parameters. For example, EDFM scales the permeability of the natural fractures based on a cubic equation, while CAM uses a flux strength. The results from CAM and EDFM are used to scale the flux strength of the natural fractures and improve the equivalent permeability contrast estimation for CAM. The permeability contrast for CAM is calculated from the ratio of the enhanced velocity inside natural fractures to the unperturbed matrix fluid velocity. A significant advantage of flow and pressure models based on CAM is the high resolution without complex gridding. Particle tracking results are presented for fractures with different hydraulic conductivity ranging from highly permeable to impervious.

Time-of-Flight Technique Limits of Applicability for Thin-Films of Π-Conjugated Polymers

2012 ◽  
Vol 1402 ◽  
Author(s):  
Marco R. Cavallari ◽  
Vinicius R. Zanchin ◽  
Cleber A. Amorim ◽  
Gerson dos Santos ◽  
Fernando J. Fonseca ◽  
...  
Keyword(s):  
Thin Films ◽  
Conjugated Polymers ◽  
Field Effect ◽  
Field Effect Transistors ◽  
Time Of Flight ◽  
Hole Mobility ◽  
Current Mode ◽  
Phenylene Vinylene ◽  
Polymeric Semiconductor ◽  
Order Of Magnitude

ABSTRACTTime of flight (ToF) is the most straightforward technique to determine polymeric semiconductor mobility for electronic applications. We demonstrate ToF limits of applicability to amorphous PPV derivatives, such as poly[2-methoxy-5-(3’,7’-dimethylloctyloxy)-1-4-phenylene vinylene] (MDMO-PPV) and poly[2-methoxy-5-(2’-ethylhexyloxy)-1-4-phenylene vinylene] (MEH-PPV), and polycrystalline poly(3-hexylthiophene) (P3HT). Hole and electron mobility (μ) in submicrometric films (200 – 500 nm) is overestimated compared to casted layers, due to reduced absorption capability, which is confirmed by Charge Extraction by Linearly Increasing Voltage (CELIV) measurements. Charge transport properties in nanometric films, such as for Field-Effect Transistors (FET), can not be studied by current-mode ToF. Hole mobility of ca. 10-5 cm2/Vs with Poole-Frenkel behavior for PPV derivatives and 10-3 cm2/Vs for P3HT is at least one order of magnitude higher than ToF results.

scholarly journals INDUSTRIAL PARKS: WORLD EXPERIENCE AND PERSPECTIVES OF CREATION IN UKRAINE

2018 ◽  
pp. 40-50
Author(s):  
Victor Halasiuk
Keyword(s):  
Industrial Development ◽  
Complex Analysis ◽  
System Analysis ◽  
Developed Countries ◽  
Industrial Sector ◽  
Legal Aspects ◽  
International Experience ◽  
Synthesis Methods ◽  
Analysis Methods ◽  
Industrial Parks

Introduction. The deindustrialization processes in Ukraine can be defined as the result of national industrial potential degradation, that throws domestic economy back in the past in comparison with highly developed countries. At the same time, the restoration of the industry is constrained by sharp "investment hunger», which deepens the problems of unemployment and emigration of the population, preserves a low standard of living. Overcoming the systemic problems prevailing in the domestic industrial sector requires the decisive use of effective industrial development instruments, one of which is industrial parks. Purpose. The article aims to argue the perspective directions of the Ukrainian industrial sector development using the mechanism of industrial parks on the basis of international experience analysis. Method. Methodological base of the paper covers a complex of complementary methods of scientific research of economic processes and phenomena: historical and logical method, method of system analysis, methods of economic and mathematical modelling, comparative and statistical analysis, general scientific methods of analysis and synthesis, methods of induction and deduction. In order to carry out the complex analysis, methods of computer processing, analysis and display of information using the Microsoft Excel program also are used. Results. The article has discussed essential and economic and legal aspects of industrial parks creation as a mechanism for the formation of a favourable investment climate in order to increase the international competitiveness and develop industrial sector of Ukraine. Advanced international experience of using industrial parks to provide accelerated economic growth on an innovative basis has been analysed. Existing preconditions and prospects for activating the policy of industrial parks creation in Ukraine have been investigated. Legislative initiatives to promote the opening and launching of new industrial parks in the domestic practice of industrial development have been argued. The measures of industrial policy, which should complement the existing legislative norms and initiatives concerning the development of a network of industrial parks in Ukraine, have been outlined. The results of the econometric analysis of industrial parks influence on the main macroeconomic indicators (gross domestic product, foreign trade, employment, volumes of industrial production) of Ukraine have been presented.

scholarly journals Automating Analysis of Neutron Scattering Time-of-Flight Single Crystal Phonon Data

2020 ◽  
Vol 4 (4) ◽  
pp. 41
Author(s):  
Dmitry Reznik ◽  
Irada Ahmadova
Keyword(s):  
Data Mining ◽  
Neutron Scattering ◽  
Background Subtraction ◽  
Systematic Approach ◽  
Time Of Flight ◽  
Large Datasets ◽  
Scattering Function ◽  
Scattering Intensity ◽  
Order Of Magnitude ◽  
Scattering Time

This article introduces software called Phonon Explorer that implements a data mining workflow for large datasets of the neutron scattering function, S(Q, ω), measured on time-of-flight neutron spectrometers. This systematic approach takes advantage of all useful data contained in the dataset. It includes finding Brillouin zones where specific phonons have the highest scattering intensity, background subtraction, combining statistics in multiple Brillouin zones, and separating closely spaced phonon peaks. Using the software reduces the time needed to determine phonon dispersions, linewidths, and eigenvectors by more than an order of magnitude.

Localisation and Recovery Planning of the Remaining Hydrocarbon Reserves

2021 ◽  
Author(s):  
Artur Mihailovich Aslanyan ◽  
Arkadii Yurievich Popov ◽  
Ivan Aleksandrovich Zhdanov ◽  
Eugeny Sergeevich Pakhomov ◽  
Nikolay Petrovich Ibryaev ◽  
...  
Keyword(s):  
Dynamic Behavior ◽  
Complex Analysis ◽  
Full Range ◽  
Development Planning ◽  
Hydraulic Fractures ◽  
Fine Grid ◽  
Field Development ◽  
Digital Twin ◽  
Digital Asset ◽  
The Cross

Abstract The paper presents the results of a study project of 60+ well block of the large (> 1,000 wells) mature (30 year old) oilfield in Western Siberia with objective to localise and characterize residual recoverable reserves and propose the optimal economic scenario for further depletion. Low permeability, heterogeneous reserve structure along the cross-section, numerous induced hydraulic fractures in producing wells and numerous spontaneous fractures in injecting wells with dynamic behavior, aggravated by numerous behind-the-casing crossflows in almost every well have resulted in a very complex conditions of remaining reserves. The conventional methods of production analysis and surveillance (well testing and production logging) do not provide a consistent picture of the current distribution and conditions of the remaining reserves and required a deeper and more complex analysis. Development Opportunities Management workflow was chosen for this particular holistic study, which includes a set of interconnected studies, field surveillance, geological and flow modelling and culminated in field development planning based on the digital asset twin. (Ganiev, B., 2021) Digital asset twin was constructed based on results of this workflow with a full-range economical model, flow simulation over the thoroughly calibrated fine-grid 3D dynamic model and production complication model (dynamic behavior of the fractures and behind-casing channeling). The 3D model has been calibrated on results of the cross-well pressure-pulse surveillance, reservoir-oriented production logging and was validated by the results of the drilling of the transition wells. The digital asset twin was used to find the optimal investment scenario based on multivariate calculations with the help of digital assistants. Due to simplicity of the user interface and client-server design, the digital twin was made available for various corporate engineers and managers without any modelling skills to play around with their own ideas on possible production/investment scenarios which gave another level of validation of the ultimate field development plan. All activities carried out within the digital twin automatically generate a complete package of investment metrics (NPV, PI, IRR, MIRR, Cash Flow and many correlation graphs) to assess the economic efficiency of each package and select the most appropriate solution for further ultimate choice. The approved scenario was based around drilling 6 producing side-tracks in specific locations/trajectories, performing workovers on specific offset injectors and re-scheduling of the production/injection rates in all block wells. The results of the field development's activities implementation will be the subject of a future publication.

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