scholarly journals Well pattern optimization based on StoSAG algorithm

2018 ◽  
Vol 2 (1) ◽  
pp. 103-112 ◽  
Author(s):  
Shoulei Wang ◽  
Zhiping Li ◽  
Sen Wang ◽  
Xiaodong Han
Keyword(s):  
Well Pattern ◽  
Well Pattern Optimization

Study on Well Pattern Optimization of Tight Sandstone Gas Reservoir with the Strong Heterogeneity

2013 ◽  
Author(s):  
Ji Zhang ◽  
Tao Lu ◽  
Yuegang Li ◽  
Shuming Yu ◽  
Jingbu Li ◽  
...  
Keyword(s):  
Tight Sandstone ◽  
Gas Reservoir ◽  
Well Pattern ◽  
Well Pattern Optimization

scholarly journals Gas drainage radius evaluation and well pattern optimization of multilayer gas reservoirs

2020 ◽  
Vol 793 ◽  
pp. 012047
Author(s):  
Zhijun Liu ◽  
Zhenglin Mao ◽  
Haobo Zhang ◽  
Yongbin Zhang ◽  
Qian Liu ◽  
...  
Keyword(s):  
Gas Reservoirs ◽  
Gas Drainage ◽  
Drainage Radius ◽  
Well Pattern ◽  
Well Pattern Optimization

The Research of Flood Pattern Completeness in the Thin and Poor Oil Layers of South West II Area

2012 ◽  
Vol 594-597 ◽  
pp. 2541-2544
Author(s):  
Xiao Hui Wu ◽  
Kao Ping Song ◽  
Chi Dong ◽  
Ji Cheng Zhang ◽  
Jing Fu Deng
Keyword(s):  
Oil Recovery ◽  
Water Flooding ◽  
South West ◽  
Oil Distribution ◽  
Well Pattern ◽  
Remaining Oil ◽  
Tertiary Oil Recovery ◽  
Well Pattern Optimization ◽  
Numerical Simulation Technique

As line well pattern is the main development technique in the thin and poor oil layers of Daqing Oilfield South West Ⅱ PⅠ group, the layers have been idle and the degree of reserve recovery is far less than the region level. In response to these problems, we analyzed the balanced flood performance of various layers and the remaining oil distribution through numerical simulation technique. It shows that, the main remaining oil type of intended layers is caused by voidage-injection imperfection. Considering the needs of the follow-up infill well pattern and tertiary oil recovery, we decided to keep the well network independent and integrated without disturbing the pattern configuration and main mining object of various sets of well pattern. Finally we confirmed to perforate-adding the first infill wells of intended layers to consummate the water flooding regime. Through analyzing the production target of different well pattern optimization programs relatively, it shows that the best program has regular well pattern and large drilled thickness.

scholarly journals Analysis of hydraulic fracture behavior and well pattern optimization in anisotropic coal reservoirs

2020 ◽  
pp. 014459872096083
Author(s):  
Yulong Liu ◽  
Dazhen Tang ◽  
Hao Xu ◽  
Wei Hou ◽  
Xia Yan
Keyword(s):  
Hydraulic Fracture ◽  
Coalbed Methane ◽  
Fracture Network ◽  
Simulation Software ◽  
Natural Fracture ◽  
Hydraulic Fractures ◽  
Natural Fractures ◽  
Well Pattern ◽  
Well Pattern Optimization ◽  
The Impact

Macrolithotypes control the pore-fracture distribution heterogeneity in coal, which impacts stimulation via hydrofracturing and coalbed methane (CBM) production in the reservoir. Here, the hydraulic fracture was evaluated using the microseismic signal behavior for each macrolithotype with microfracture imaging technology, and the impact of the macrolithotype on hydraulic fracture initiation and propagation was investigated systematically. The result showed that the propagation types of hydraulic fractures are controlled by the macrolithotype. Due to the well-developed natural fracture network, the fracture in the bright coal is more likely to form the “complex fracture network”, and the “simple” case often happens in the dull coal. The hydraulic fracture differences are likely to impact the permeability pathways and the well productivity appears to vary when developing different coal macrolithtypes. Thus, considering the difference of hydraulic fracture and permeability, the CBM productivity characteristics controlled by coal petrology were simulated by numerical simulation software, and the rationality of well pattern optimization factors for each coal macrolithotype was demonstrated. The results showed the square well pattern is more suitable for dull coal and semi-dull coal with undeveloped natural fractures, while diamond and rectangular well pattern is more suitable for semi-bright coal and bright coal with more developed natural fractures and more complex fracturing fracture network; the optimum wells spacing of bright coal and semi-bright coal is 300 m and 250 m, while that of semi-dull coal and dull coal is just 200 m.

scholarly journals New well pattern optimization methodology in mature low-permeability anisotropic reservoirs

2017 ◽  
Vol 15 (1) ◽  
pp. 93-105 ◽  
Author(s):  
Jiazheng Qin ◽  
Yuetian Liu ◽  
Yueli Feng ◽  
Yao Ding ◽  
Liu Liu ◽  
...  
Keyword(s):  
Low Permeability ◽  
Well Pattern ◽  
Optimization Methodology ◽  
Well Pattern Optimization ◽  
Anisotropic Reservoirs

Smart Well Pattern Optimization Using Gradient Algorithm

2015 ◽  
Vol 138 (1) ◽  
Author(s):  
Liming Zhang ◽  
Kai Zhang ◽  
Yuxue Chen ◽  
Meng Li ◽  
Jun Yao ◽  
...  
Keyword(s):  
Large Scale ◽  
Production Control ◽  
Optimization Procedure ◽  
Transformation Method ◽  
Economic Benefits ◽  
Gradient Algorithm ◽  
Generation Process ◽  
Field Development ◽  
Well Pattern ◽  
Well Pattern Optimization

For a long time, well pattern optimization mainly relies on human experience, numerical simulations are used to test different development plans and then a preferred program is chosen for field implementation. However, this kind of method cannot provide suitable optimal well pattern layout for different geological reservoirs. In recent years, more attentions have been paid to propose well placement theories combining optimization algorithm with reservoir simulation. But these theories are mostly applied in a situation with a small amount of wells. For numerous wells in a large-scale reservoir, it is of great importance to pursue the optimal well pattern in order to obtain maximum economic benefits. The idea in this paper is originated from the idea presented by Onwunalu and Durlofsky (2011, “A New Well-Pattern-Optimization Procedure for Large-Scale Field Development,” SPE J., 16(3), pp. 594-607), which focuses on well pattern optimization, and the innovations are as follows: (1) Combine well pattern variation with production control to get the optimal overall development plan. (2) Rechoose and simplify the optimization variables, deduce the new generation process of well pattern, and use perturbation gradient to solve mathematical model in order to ensure efficiency and accuracy of final results. (3) Constrain optimization variables by log-transformation method. (4) Boundary wells are reserved by shifting into boundary artificially to avoid abrupt change of objective function which leads to a nonoptimal result due to gradient discontinuity at reservoir edge. The method is illustrated by examples of homogeneous and heterogeneous reservoirs. For homogeneous reservoir, perturbation gradient algorithm yields a quite satisfied result. Meanwhile, heterogeneous reservoir tests realize optimization of various well patterns and indicate that gradient algorithm converges faster than particle swarm optimization (PSO).

Sign in / Sign up

Export Citation Format

Share Document