scholarly journals Discussion on Preference of Secondary Series of Primary Well Pattern at North Block 1 of Labei

2017 ◽  
Author(s):  
Xin Jin
Keyword(s):  
Well Pattern ◽  
Secondary Series

Optimization of well pattern for oil rim fields

2019 ◽  
Vol 12 ◽  
pp. 44-46
Author(s):  
D.A. Sugaipov ◽  
◽  
S.A. Nekhaev ◽  
I.V. Perevozkin ◽  
D.A. Reshetnikov ◽  
...  
Keyword(s):  
Well Pattern ◽  
Oil Rim

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 Reservoir characteristics and effective development technology in typical low-permeability to ultralow-permeability reservoirs of China National Petroleum Corporation

2021 ◽  
pp. 014459872110052
Author(s):  
Xizhe Li ◽  
Zhengming Yang ◽  
Shujun Li ◽  
Wei Huang ◽  
Jianfei Zhan ◽  
...  
Keyword(s):  
Horizontal Well ◽  
Water Flooding ◽  
Low Permeability ◽  
Reservoir Characteristics ◽  
Well Pattern ◽  
China National Petroleum Corporation ◽  
Volume Fracturing ◽  
Effective Development ◽  
Oil Gas ◽  
Ultralow Permeability

Low-permeability to ultralow-permeability reservoirs of the China National Petroleum Corporation are crucial to increase the reserve volumes and the production of crude oil in the present and future times. This study aimed to address the two major technical bottlenecks faced by the low-permeability to ultralow-permeability reservoirs by a comprehensive use of technologies and methods such as rate-controlled mercury injection, nuclear magnetic resonance, conventional logging, physical simulation, numerical simulation, and field practices. The reservoir characteristics of low-permeability to ultralow-permeability reservoirs were first analyzed. The water flooding development adjustment mode in the middle and high water-cut stages for the low-permeability to ultralow-permeability reservoirs, where water is injected along the fracture zone and lateral displacement were established. The formation mechanism and distribution principles of dynamic fractures, residual oil description, and expanding sweep volume were studied. The development mode for Type II ultralow-permeability reservoirs with a combination of horizontal well and volume fracturing was determined; this led to a significant improvement in the initial stages of single-well production. The volume fracturing core theory and optimization design, horizontal well trajectory optimization adjustment, horizontal well injection-production well pattern optimization, and horizontal well staged fracturing suitable for reservoirs with different characteristics were developed. This understanding of the reservoir characteristics and the breakthrough of key technologies for effective development will substantially support the oil-gas valent weight of the Changqing Oilfield to exceed 50 million tons per year, the stable production of the Daqing Oilfield with 40 million tons per year (oil-gas valent weight), and the realization of 20 million tons per year (oil-gas valent weight) in the Xinjiang Oilfield.

Integrated Solutions for the Redevelopment Plan of Offshore Mature-Oilfield

2021 ◽  
Author(s):  
Hongfu Shi ◽  
Yingxian Liu ◽  
Lifu Jiang ◽  
Jingding Zheng ◽  
Liqin Gan
Keyword(s):  
High Water ◽  
Bohai Bay ◽  
Sand Body ◽  
Well Pattern ◽  
Open Hole ◽  
Average Water ◽  
High Water Cut ◽  
Water Cut ◽  
Stream Lines ◽  
Sand Bodies

Abstract Abundant faults, long oil-bearing intervals (up to 500m), and diverse fluids including conventional oil and heavy oil, result in P oilfield became one of the most complex oil fields in the Bohai Bay. The main characters ofinitial development plan are directional well with commingle production, open hole completion, large draw down, high oil production rate, and reverse nine-point well pattern. At present, the oilfield has entered a stage of high water cut, with average water cut more than 85%. What can we do next, decommissioning or rebirthing? An integrated solution was proposed to redevelop the oilfield which focus on the layers’ subdivision, the fine description of the sand body,a large number of horizontal wells on the top of the water-flooded layer are used to tap the potential, increase the water injector to transform the stream lines and rebuild the reservoir pressure, and search for potential sand bodies to increase reserves.

Artificial Intelligence Method of Flow Unit Division Based on Waveform Clustering: A Case Study on Zhetybay Oil Field, South Mangyshalk Basin, Kazakhstan

2021 ◽  
Author(s):  
Libing Fu ◽  
Jun Ni ◽  
Yuming Liu ◽  
Xuanran Li ◽  
Anzhu Xu
Keyword(s):  
Artificial Intelligence ◽  
Oil Field ◽  
Flow Unit ◽  
Beach Sand ◽  
Flow Index ◽  
Support Vector ◽  
Main Body ◽  
Flow Units ◽  
Well Pattern ◽  
Channel Combination

Abstract The Zhetybay Field is located in the South Mangyshlak Sub-basin, a delta front sedimentary reservoir onshore western Kazakhstan. It was discovered in 1961 and first produced by waterflooding in 1967. After more than 50 years of waterflooding development, the reservoirs are generally in the mid-to-high waterflooded stage and oil-water distribution becomes complicated and chaotic. It is very difficult to handle and identify so much logging data by hand since the oilfield has the characteristics of high-density well pattern and contains rich logging information with more than 2000 wells. The wave clustering method is used to divide the sedimentary rhythm of the logging curve. Sedimentary microfacies manifested as a regression sequence, with four types of composite sand bodies including the composite estuary bar and distributary channel combination, the estuary bar connected to the dam edge and the distributing channel combination, the isolated estuary bar and distributing channel combination, and the isolated beach sand. In order to distinguish the flow units, the artificial intelligence algorithm-support vector machine (SVM) method is established by learning the non-linear relationship between flow unit categories and parameters based on developing flow index and reservoir quality factor, summarizing permeability logarithm and porosity degree parameters in the sedimentary facies, and analyzing the production dynamic. The flow units in Zhetybay oilfield were classified into 4 types: A, B1, B2 and B3, and the latter three are the main types. Type A is distributed in the river, type B1 is distributed in the main body of the dam, type B2 is mainly distributed in the main body of the dam, and some of B2 is distributed in the dam edge, and B3 is located in the dam edge, sheet sand and beach sand. The results show that the accuracy of flow unit division by support vector machines reaches 91.1%, which clarifies the distribution law of flow units for oilfield development. This study is one of the significant keys for locating new wells and optimizing the workovers to increase recoverable reserves. It provides an effective guidance for efficient waterflooding in this oilfield.

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
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