SYSTEM ANALYSIS OF GEOLOGICAL-AND-PRODUCTION DATA FOR PREDICTION TEMPERATURE REGIME OF GAS WELLS OPERATION USING A GEOLOGO-TECHNOLOGICAL MODEL

2015 ◽  
pp. 56-61
Author(s):  
A. V. Kustyshev ◽  
A. V. Krasovskii ◽  
E. S. Zimin ◽  
D. A. Tatarikov
Keyword(s):  
Process Parameters ◽  
Temperature Regime ◽  
System Analysis ◽  
West Siberia ◽  
Production Data ◽  
Gas Wells ◽  
Method Of Calculation ◽  
Technological Model

An algorithm has been developed, and a method of calculation of wellhead temperature in gas wells has been realized based on the geologo-technological model. The developed method enables to calculate the forecast process parameters taking into consideration the temperature regime of gas wells. The method was tested using the above mentioned model of the Cenomanian deposit of one of West Siberia fields. The results of these calculations have been later taken into account in designing the deposit development.

scholarly journals MODELING OF GAS FLOW IN DEVELOPMENT WELLS IN THE CENOMANIAN DEPOSITS OF WEST SIBERIA AT THE STAGE OF DECLINING PRODUCTION

2016 ◽  
pp. 85-92
Author(s):  
A. A. Khakimov ◽  
I. I. Gurbanov
Keyword(s):  
Gas Flow ◽  
West Siberia ◽  
Gas Wells ◽  
Field Development ◽  
Method Of Calculation ◽  
Methods Of Calculation ◽  
Hydrodynamic Calculations ◽  
Gas Fields ◽  
Geotechnical Model ◽  
Made In

The article describes the basic methods of calculation of pressure drop in gas producing wells. There were created 120 models of gas wells producing from Cenomanian deposits in three gas fields. More than one thousand of hydrodynamic calculations of gas flow were performed. The analysis of the results enabled to find a more precise method of calculation of gas flow in development wells, which is believed to permit to improve the geotechnical model precision as well as the effectiveness of decisions made in the field development sphere.

Deburring of Sheet Metal by Barrel Finishing

2007 ◽  
Vol 344 ◽  
pp. 193-200 ◽  
Author(s):  
Alberto Boschetto ◽  
Armando Ruggiero ◽  
Francesco Veniali
Keyword(s):  
Surface Roughness ◽  
Experimental Investigation ◽  
Sheet Metal ◽  
Process Parameters ◽  
Working Time ◽  
Thin Sheets ◽  
Secondary Operation ◽  
Barrel Finishing ◽  
Technological Model ◽  
Local Deformations

In sheet metal processes the burrs cannot be completely eliminated during the process but can be minimized by optimization of the process parameters. Hence the deburring often becomes an essential secondary operation. Most of the deburring operations are hand-made and therefore several manufacturers tend to eliminate these tedious and labor-intensive operations due to time and cost issues. Moreover, clamping problems can arise which, together with the deburring forces, can induce dimension alterations and local deformations, particularly for thin sheets. Barrel finishing is an old technique commonly used to improve the surface roughness of complicated parts, but can find interesting applications also in the deburring. Aim of this work is to present an experimental investigation on the deburring of sheet metal performed by barreling. A technological model has been developed in order to assess the height of the burr as a function of the initial burr and of the working time.

Unified Decline Type-Curve Analysis for Natural Gas Wells in Boundary-Dominated Flow

SPE Journal ◽  
2012 ◽  
Vol 18 (01) ◽  
pp. 97-113 ◽  
Author(s):  
Ayala H Luis F. ◽  
Peng Ye
Keyword(s):  
Natural Gas ◽  
Constant Pressure ◽  
Curve Analysis ◽  
Production Data ◽  
Gas Wells ◽  
Production Potential ◽  
Type Curve ◽  
Type Curves ◽  
Decline Curve Analysis ◽  
Decline Curve

Summary Rate-time decline-curve analysis is the technique most extensively used by engineers in the evaluation of well performance, production forecasting, and prediction of original fluids in place. Results from this analysis have key implications for economic decisions surrounding asset acquisition and investment planning in hydrocarbon production. State-of-the-art natural gas decline-curve analysis heavily relies on the use of liquid (oil) type curves combined with the concepts of pseudopressure and pseudotime and/or empirical curve fitting of rate-time production data using the Arps hyperbolic decline model. In this study, we present the analytical decline equation that models production from gas wells producing at constant pressure under boundary-dominated flow (BDF) which neither employs empirical concepts from Arps decline models nor necessitates explicit calculations of pseudofunctions. New-generation analytical decline equations for BDF are presented for gas wells producing at (1) full production potential under true wide-open decline and (2) partial production potential under less than wide-open decline. The proposed analytical model enables the generation of type-curves for the analysis of natural gas reservoirs producing at constant pressure and under BDF for both full and partial production potential. A universal, single-line gas type curve is shown to be straightforwardly derived for any gas well producing at its full potential under radial BDF. The resulting type curves can be used to forecast boundary-dominated performance and predict original gas in place without (1) iterative procedures, (2) prior knowledge of reservoir storage properties or geological data, and (3) pseudopressure or pseudotime transformations of production data obtained in the field.

Quantification of Uncertainty in Reserves Estimation From Decline Curve Analysis of Production Data for Unconventional Reservoirs

2007 ◽  
Author(s):  
Yueming Cheng ◽  
W. John Lee ◽  
Duane A. McVay
Keyword(s):  
Oil And Gas ◽  
Curve Analysis ◽  
Production Data ◽  
Data Sets ◽  
Gas Wells ◽  
Advanced Technique ◽  
Unconventional Resources ◽  
Decline Curve Analysis ◽  
Decline Curve ◽  
Reserve Estimates

Decline curve analysis is the most commonly used technique to estimate reserves from historical production data for evaluation of unconventional resources. Quantifying uncertainty of reserve estimates is an important issue in decline curve analysis, particularly for unconventional resources since forecasting future performance is particularly difficult in analysis of unconventional oil or gas wells. Probabilistic approaches are sometimes used to provide a distribution of reserve estimates with three confidence levels (P10, P50 and P90) and a corresponding 80% confidence interval to quantify uncertainties. Our investigation indicates that uncertainty is commonly underestimated in practice when using traditional statistical analyses. The challenge in probabilistic reserves estimation is not only how to appropriately characterize probabilistic properties of complex production data sets, but also how to determine and then improve the reliability of the uncertainty quantifications. In this paper, we present an advanced technique for probabilistic quantification of reserve estimates using decline curve analysis. We examine the reliability of uncertainty quantification of reserve estimates by analyzing actual oil and gas wells that have produced to near-abandonment conditions, and also show how uncertainty in reserves estimates changes with time as more data become available. We demonstrate that our method provides more reliable probabilistic reserves estimation than other methods proposed in the literature. These results have important impacts on economic risk analysis and on reservoir management.

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