Estimation of the reliability of determination of filtering parameters of productive formations using multi-dimensional regression analysis

2021 ◽  
pp. 50-59
Author(s):  
D.A. Martyushev ◽  
◽  
I.N. Ponomareva ◽  
V.I. Galkin ◽  
Keyword(s):  
Regression Analysis ◽  
Multivariate Regression Analysis ◽  
Oil Fields ◽  
Technological Parameters ◽  
Recovery Method ◽  
Statistical Estimates ◽  
Production Analysis ◽  
Perm Krai ◽  
Pressure Stabilization

Determination of reliable values of filtration parameters of productive strata is the most important task of monitoring the processes of developing reserves. One of the most effective methods for solving the problem is hydrodynamic testing of wells using the pressure recovery method, as well as modern methods - the pressure stabilization method and the method based on production analysis (Decline Analyze). This article is devoted to the assessment of the reliability of these three methods in determining the filtration parameters of terrigenous and carbonate productive deposits of oil fields in the Perm Krai. To solve the problem, multivariate regression analysis was used. A series of multidimensional mathematical models of well flow rates was built using filtration parameters determined for each of the methods. It is proposed to consider the filtration parameters included in the models with the maximum statistical estimates of performance as the most reliable. With regard to the fields under consideration, it was found that in terrigenous reservoirs, all three methods demonstrate stable results. In carbonate reservoirs, reliable values of filtration parameters are determined by processing pressure build-up curves. Pressure stabilization and production analysis methods show less robust results and require additional research in order to develop sound recommendations for their practical application. Keywords: permeability; skin factor; pressure stabilization curve; decline analyze; liquid flow rate; geological and technological parameters; oil deposit; carbonate deposits.

scholarly journals Conditions for Effective Application of the Decline Curve Analysis Method

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6461
Author(s):  
Dmitriy A. Martyushev ◽  
Inna N. Ponomareva ◽  
Vladislav I. Galkin
Keyword(s):  
Multivariate Regression Analysis ◽  
Modern Method ◽  
Curve Analysis ◽  
Carbonate Reservoirs ◽  
Oil Fields ◽  
Statistical Estimates ◽  
Decline Curve Analysis ◽  
Decline Curve ◽  
Reservoir Systems ◽  
Perm Krai

Determining the reliable values of the filtration parameters of productive reservoirs is the most important task in monitoring the processes of reserve production. Hydrodynamic studies of wells by the pressure build-up method, as well as a modern method based on production curve analysis (Decline Curve Analysis (DCA)), are some of the effective methods for solving this problem. This paper is devoted to assessing the reliability of these two methods in determining the filtration parameters of terrigenous and carbonaceous productive deposits of oil fields in the Perm Krai. The materials of 150 conditioned and highly informative (obtained using high-precision depth instruments) studies of wells were used to solve this problem, including 100 studies conducted in terrigenous reservoirs (C1v) and 50 carried out in carbonate reservoirs (C2b). To solve the problem, an effective tool was used—multivariate regression analysis. This approach is new and has not been previously used to assess the reliability of determining the filtration parameters of reservoir systems by different research methods. With its use, a series of statistical models with varying degrees of detail was built. A series of multivariate mathematical models of well flow rates using the filtration parameters determined for each of the methods is constructed. The inclusion or non-inclusion of these filtration parameters in the resulting flow rate models allows us to give a reasonable assessment of the possibility of using the pressure build-up method and the DCA method. All the constructed models are characterized by high statistical estimates: in all cases, a high value of the determination coefficient was obtained, and the probability of an error in all cases was significantly less than 5%. As applied to the fields under consideration, it was found that both methods demonstrate stable results in terrigenous reservoirs. The permeability determined by the DCA method and the pressure build-up curve does not control the flow of the fluid in carbonate reservoirs, which proves the complexity of the filtration processes occurring in them. The DCA method is recommended for use to determine the permeability and skin factor in the conditions of terrigenous reservoirs.

The Influence of Laser Beam Technological Parameters on the Polymethyl Methacrylate Surface Quality

2018 ◽  
Vol 919 ◽  
pp. 190-198 ◽  
Author(s):  
Vladimír Pata ◽  
Libuše Sýkorová ◽  
Oldřich Šuba ◽  
Milena Kubišová
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Laser Beam ◽  
Surface Quality ◽  
Polymethyl Methacrylate ◽  
Quality Parameters ◽  
Technological Parameters ◽  
Detailed Statistical Analysis ◽  
Mathematical Relations

The paper is focused on the determination of the course and change of the surface quality parameters obtained by the laser engraving of the material known under commercial name polymethyl methacrylate. The paper aims to find mathematical relations based on regression analysis for amplitudes parameters Ra and Rz. For this purpose, a sample of variable technology parameters will be machined followed by the surface measuring and evaluation using the Talysurf CLI 500 3D Surface Scanner. Thus the data obtained will be subjected to the detailed statistical analysis to check homoscedasticity, the presence of outliers, and multidimensional normality testing.

Determination of the myoglobin states in ground beef using non-invasive reflectance spectrometry and multivariate regression analysis

Meat Science ◽  
2013 ◽  
Vol 95 (3) ◽  
pp. 451-457 ◽  
Author(s):  
Milena Bjelanovic ◽  
Oddvin Sørheim ◽  
Erik Slinde ◽  
Eero Puolanne ◽  
Tomas Isaksson ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multivariate Regression ◽  
Ground Beef ◽  
Multivariate Regression Analysis ◽  
Reflectance Spectrometry ◽  
Non Invasive

Clarification of the method substantiation of parameters energy remedy for the performance of technological operations in inter rows of industrial orchards of a walnut

2020 ◽  
pp. 227-234
Author(s):  
S. O. Krupych
Keyword(s):  
Regression Analysis ◽  
Technological Process ◽  
Lateral Displacement ◽  
Traction Force ◽  
World Market ◽  
Technological Parameters ◽  
The World ◽  
A New Technique ◽  
Working Bodies

Annotation Purpose. Improving the methodology of substantiation of the selection of energy means for performing technological operations in walnut orchards, which is the basis for further determination of their rational parameters. Methods. The research uses the principles of systems analysis, as well as monographic and graph analytical methods. Results. Performing technological operations in walnut orchards requires special features from tractors: movement in the rows of the garden without damaging the tree crown; providing aggregation of symmetrical machines and with lateral displacement; availability of a universal hydraulic system for the drive of working bodies; to provide statistical and dynamic stability when hanging agricultural machines. To achieve this goal, it is advisable to consider the tractor on a two-parameter classification system, ie the transition from traction to traction-energy concept, take into account the traction force of the tractor on the hook and the effective power of the tractor engine. To substantiate the parameters of the energy means of performing technological operations in perennial walnut plantations, an algorithm is proposed that allows taking into account the technical and technological parameters of MTU. It is developed on the basis of information on the technologies of growing walnuts available on the world market and technical means for their implementation. It is developed on the basis of information about the technologies and technical means of walnut production available on the world market and allows carrying out their system-structural analysis. The identification of domestic and foreign energy remedy available on the market to ensure the technological process of walnuts production was carried out and correlation-regression analysis was performed, which allowed establishing the relationship between tractor cost and their parameters: engine power, operating weight. The proposed dependences make it possible to substantiate the rational (optimal) parameters of the technical support of the entire technological process with different subject-production characteristics. Conclusions. Based on the analysis of existing methods of substantiation of parameters of energy remedy for technological operations of agricultural production it is established that specialized methods that would take into account the peculiarities of walnut production absent. A new technique has been developed that will increase the efficiency of substantiation of energy parameters during the technological operations of walnut cultivation. The identification of available on the market energy remedy, machines and tools for technological operations of walnut production is carried out and their parametric and cost indicators are established. Based on these data, a regression analysis was performed, which made it possible to establish the relationships between price and their parametric indicators. Keywords: energy remedy, garden, walnuts, weight, traction force, method, rational parameters.

Determination of galactosamine impurities in heparin samples by multivariate regression analysis of their 1H NMR spectra

2010 ◽  
Vol 399 (2) ◽  
pp. 635-649 ◽  
Author(s):  
Qingda Zang ◽  
David A. Keire ◽  
Richard D. Wood ◽  
Lucinda F. Buhse ◽  
Christine M. V. Moore ◽  
...  
Keyword(s):  
Regression Analysis ◽  
1H Nmr ◽  
Multivariate Regression ◽  
Nmr Spectra ◽  
Multivariate Regression Analysis ◽  
1H Nmr Spectra

Analysis of preference Consumers Against Coffee Local at Regency Muna

2020 ◽  
Vol 1 (1) ◽  
pp. 49
Author(s):  
Sawalludin Sawalludin ◽  
La Rianda ◽  
Abdu Rahman Baco
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Random Sampling ◽  
Multivariate Regression ◽  
Consumer Preferences ◽  
Multivariate Regression Analysis ◽  
Markov Analysis ◽  
Great Opportunity ◽  
Instant Coffee

The study aims to determine factors that influence the preference of consumers to coffee locally in Regency Muna, to determine the priority choice of consumers to coffee locally in Regency Muna, and to determine a shift in the balance of consumers to coffee Local in Regency Muna.The population in this study are consumers who buy and consume coffee at the study site, the determination of the sample is done by random sampling to obtain 75 respondents. Data collection is done through interviews, questionnaires, and documentation. Data analysis using multivariate regression analysis with the help of SPSS 16 for windows, analysis of exponential comparison methods and markov analysis. The results of this study indicate that consumer preferences for local coffee on taste variables have a significant effect with a significant value of n 0,000 <0.05, aroma variables have a significant effect 0,000 <0.05, and color variables have a significant effect 0,000 <0.05, MPE analysis shows that local kahawai coffee still has a great opportunity as a priority for consumers in the consumption of coffee in the Maabholu Village, and Markov analysis shows the equilibrium point in the 16th period namely local kahawai coffee 0.243, instant ABC Mocca coffee 0.387, instant coffee boat fire 0.230, and instant coffee Tora Bika 0.054.

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