New Dynamic Multi-factor Economic Limit Well Pattern Density Calculation Method Based on Single-Well Limit Control Reserves

2019 ◽  
pp. 757-769
Author(s):  
Hongwei Wang ◽  
Haibo Liu ◽  
Xianbao Zheng ◽  
Zhiguo Miao ◽  
Jibin Wang ◽  
...  
Keyword(s):  
Calculation Method ◽  
Density Calculation ◽  
Pattern Density ◽  
Well Pattern ◽  
Single Well

New Calculation Method of Sweep Efficiency after Pattern Infilling in Low Permeability Reservoir

2014 ◽  
Vol 1010-1012 ◽  
pp. 1713-1718
Author(s):  
Fang Zhao ◽  
Rui Shen ◽  
Gang Xu
Keyword(s):  
Calculation Method ◽  
Statistical Data ◽  
Effective Means ◽  
Low Permeability ◽  
Effect Evaluation ◽  
Sweep Efficiency ◽  
Well Spacing ◽  
Well Pattern ◽  
Development Effectiveness ◽  
Result Show

Sweep efficiency is a very important parameters for development effect evaluation and dynamic analysis of oilfield. For low permeability oilfield, well pattern thickening is one of the most effective means of improving development effectiveness. In this paper, a corrected calculation method is given and well spacing density is introduced as a parameter for the formula correction. The curve of volumetric sweep efficiency and well spacing density was achieved through the formula and statistical data. After the infill adjustment, increasing multiple of sweep efficiency can be calculated. Using the actual data of Changqing oilfield to calculate, result show that the deviation is 1.1% .

scholarly journals The determination of the critical parameters of a gasoline petroleum fractionSB-180 Trinity-Anastasievskoe oil

2019 ◽  
Vol 135 ◽  
pp. 01106
Author(s):  
Mikhail Chebotarev ◽  
Pavel Kharchenko
Keyword(s):  
Critical Point ◽  
Calculation Method ◽  
The State ◽  
Experimental Results ◽  
Critical Parameters ◽  
Calculation Error ◽  
Thermodynamic Similarity ◽  
Density Calculation ◽  
Oil Fraction

The article determines the critical parameters of the oil fraction-temperature, pressure and density. The experimental results are compared with the calculated results, the calculation method closest to the experimental results is chosen, the calculation error is estimated. The main results and conclusions are presented. The use of the theory of thermodynamic similarity in the method of density calculation and DNP required first of all knowledge of the parameters of the state at the critical point. The accuracy of the calculation of critical parameters affects the reliability of the results.

Research Progress in Calculation Methods for Single-Well Dynamic Reserves of Gas Reservoirs

2014 ◽  
Vol 1044-1045 ◽  
pp. 401-405
Author(s):  
Hai Dong Shi
Keyword(s):  
High Efficiency ◽  
Research Progress ◽  
Calculation Methods ◽  
Gas Wells ◽  
Gas Reservoirs ◽  
Gas Field ◽  
Well Spacing ◽  
Well Pattern ◽  
Single Well ◽  
Gas Fields

Dynamic reserves are the important basis for determining the reasonable deliverability of gas wells and well spacing density and also the foundation for the overall development plan of a gas field. Therefore, the evaluation of dynamic reserves of gas wells is crucially important to developing gas fields with high efficiency, optimizing well pattern and shortening development period. For this reason, this paper arranges and analyzes systematically a series of calculation methods for dynamic reserves of single gas well, which have arisen in recent years, and identifies the calculation methods for different types of gas reservoirs.

scholarly journals A new method to determine reasonable well pattern density in low-permeability gas reservoirs

2019 ◽  
Vol 9 (3) ◽  
pp. 2165-2174 ◽  
Author(s):  
Tianjin Zhang ◽  
Zhisheng Zhang ◽  
Chunsheng Li ◽  
Hu Xia ◽  
Hailong Liu
Keyword(s):  
New Method ◽  
Low Permeability ◽  
Gas Reservoirs ◽  
Pattern Density ◽  
Well Pattern

scholarly journals Productivity Models of Infill Complex Structural Wells in Mixed Well Patterns

Processes ◽  
2019 ◽  
Vol 7 (6) ◽  
pp. 324 ◽  
Author(s):  
Liang Sun ◽  
Baozhu Li ◽  
Yong Li
Keyword(s):  
Horizontal Well ◽  
Mirror Image ◽  
Analytical Models ◽  
Image Method ◽  
Vertical Well ◽  
Shape Distribution ◽  
Well Pattern ◽  
Single Well ◽  
Complex Structural ◽  
Reservoir Simulator

The mathematical models of productivity calculation for complex structural wells mainly focus on the single well or the regular well pattern. Previous research on the seepage theory of complex structural wells and vertical wells in mixed well pattern is greatly insufficient. Accordingly, this article presents a methodology of evaluating the productivity of infill complex structural wells in mixed well patterns. On the basis of the mirror-image method and source–sink theory, two semi-analytical models are established. These models are applied to the productivity prediction of an infill horizontal well inhorizontal-vertical well pattern and an infill multilateral well inmultilateral-vertical well pattern, respectively, in which the interference of other wells, the randomicity of well patterns, and the pressure drawdown along the horizontal laterals are taken into account. The semi-analytical models’ results are consistent with those calculated by the Eclipse reservoir simulator with the relative error of less than 15%. Results indicate that the bottom hole flowing pressure decreases logarithmically while the wellbore flow rate increases monotonically from the toe to the heel of the horizontal well. Due to the pseudo-hemispherical flow at each endpoint and the pseudo-linear flow at the center of the horizontal well, the drainage area at each endpoint is relatively larger than that at the center. The radial inflow at each endpoint of the horizontal segment is considerably greater than that at the center, which presents the U-shape distribution. The proposed methodology enhances and promotes the theory of productivity evaluation for complex structural wells in mixed well patterns.

scholarly journals Relationship between well pattern density and variation function of stochastic modelling and database establishment

2020 ◽  
Vol 75 ◽  
pp. 84
Author(s):  
Jinkai Wang ◽  
Kai Zhao ◽  
Zhaoxun Yan ◽  
Yuxiang Fu ◽  
Jun Xie
Keyword(s):  
Oil And Gas ◽  
Stochastic Modelling ◽  
Gas Reservoirs ◽  
Gas Field ◽  
Pattern Density ◽  
Vertical Range ◽  
Variation Function ◽  
Well Pattern ◽  
Geological Conditions ◽  
Degree Of Convergence

For 3D geological modelling of oil and gas reservoirs, well pattern density is directly related to the number of samples involved in the calculation, which determines the variation function of stochastic modelling and has great impacts on the results of reservoir modelling. This paper focuses on the relationship between well pattern density and the variogram of stochastic modelling, selects the large Sulige gas field with many well pattern types as the research object, and establishes a variogram database of stochastic models for different well pattern densities. First, the well pattern in the study area is divided into three different types (well patterns A, B, and C) according to well and row space. Several different small blocks (model samples) are selected from each type of well pattern to establish the model, and their reasonable variogram values (major range, minor range and vertical range) are obtained. Then, the variogram values of all model samples with similar well pattern densities are analysed and counted, and the variogram database corresponding to each type of well pattern is established. Finally, the statistical results are applied to the modelling process of other blocks with similar well pattern density to test their accuracy. The results show that the reservoir model established by using the variation function provided in this paper agrees well with the actual geological conditions and that the random model has a high degree of convergence. This database has high adaptability, and the model established is reliable.

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