scholarly journals Analysis of the Factors Affecting the Productivity of Fractured Horizontal Wells in Changji Low Mobility Tight Oil of Xinjiang Oilfield

2017 ◽  
Author(s):  
Li-Feng Liu ◽  
Qi-Quan Ran ◽  
Xin Wang
Keyword(s):  
Horizontal Wells ◽  
Tight Oil ◽  
Factors Affecting ◽  
Fractured Horizontal Wells

A New Productivity Prediction Hybrid Model for Multi-Fractured Horizontal Wells in Tight Oil Reservoirs

2021 ◽  
Author(s):  
Liang Tao ◽  
Jianchun Guo ◽  
Zhijun Li ◽  
Xuanyi Wang ◽  
Shubo Yang ◽  
...  
Keyword(s):  
Hybrid Model ◽  
Evaluation System ◽  
Horizontal Wells ◽  
Oil Reservoirs ◽  
Tight Oil ◽  
Factors Affecting ◽  
Tight Oil Reservoirs ◽  
Volume Fracturing ◽  
Fractured Horizontal Wells ◽  
Productivity Prediction

Abstract Single well productivity is an important index to evaluate the effect of volume fracturing. However, there are many factors affecting the productivity of Multi-fractured horizontal wells (MFHWs) in unconventional reservoirs and the relationship is complex, which makes productivity prediction very difficult. In this paper, taking the tight oil reservoir in Songliao Basin as the research object, a new mixed model of initial cumulative oil production of MFHWs was established, which can consider the geological factors and volume fracturing factors at the same time. Firstly, based on the big data, the multi-level evaluation system was established by using the analytic hierarchy process (AHP). Then, the weight factor was calculated to uncover key factors that dominate productivity of MFHWs. Finally, the fuzzy logic method was used to calculate the Euclidean distance and quantitatively predict the production of any horizontal wells. The simulation results shown that: the order of the main factors affecting production in the study area was horizontal section sandstone length, number of stages, formation pressure, proppant amount, net pay thickness, permeability, porosity, oil saturation, fracturing fluid volume. The hybrid model has been applied to the productivity prediction of 185 MFHWs in tight oil reservoirs in China, the prediction error was less than 5%. The new model can be used to predict production for MFHWs quickly and economically.

scholarly journals Study on Well Selection Method for Refracturing Horizontal Wells in Tight Reservoirs

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4202
Author(s):  
Qihong Feng ◽  
Jiawei Ren ◽  
Xianmin Zhang ◽  
Xianjun Wang ◽  
Sen Wang ◽  
...  
Keyword(s):  
Horizontal Wells ◽  
Engineering Properties ◽  
Tight Oil ◽  
Well Test ◽  
Tree Model ◽  
Factors Affecting ◽  
Comprehensive Index ◽  
Tight Reservoirs ◽  
Potential Evaluation ◽  
Selection Of

Refracturing technology is one of the key technologies to recover the productivity of horizontal wells in tight oil reservoirs, and the selection of best candidate wells from target blocks is the basis of this technology. Based on the refracturing production database, this paper analyzes the direct relationship between geological data, initial fracturing completion data, and dynamic production data, and the stimulation effect of refracturing. Considering the interaction among multiple factors, the factors affecting the stimulation effect of refracturing are classified and integrated, and a comprehensive index including geology, engineering, and production is constructed, making this index meaningful both for physical and engineering properties. The XGBoost decision tree model is established to analyze the weight of influence for the comprehensive index of geology, engineering, and production in predicting the stimulation effect of refracturing. A comprehensive decision index of refracturing well selection is formed by combining the above three for performing a fast selection of horizontal candidate wells for fracturing. Taking a horizontal well test area in Songliao Basin as an example, the target wells of refracturing are selected by this method, and field operation is carried out, and a good stimulation effect is achieved. The results show that the comprehensive decision-making index constructed by this method is reliable and has certain guiding significance for well selection and stimulation potential evaluation of tight oil reservoir.

Waterflooding a Multi-layered Tight Oil Reservoir Developed with Hydraulically Fractured Horizontal Wells

2017 ◽  
Author(s):  
Crystal Hustak ◽  
Rous Dieva ◽  
Richard Baker ◽  
Ben MacIsaac ◽  
Ken Frankiw ◽  
...  
Keyword(s):  
Horizontal Wells ◽  
Tight Oil ◽  
Oil Reservoir ◽  
Tight Oil Reservoir ◽  
Fractured Horizontal Wells

scholarly journals Performance Evaluation of Multistage Fractured Horizontal Wells in Tight Gas Reservoirs at Block M, Ordos Basin

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 613
Author(s):  
Li Wu ◽  
Jiqun Zhang ◽  
Deli Jia ◽  
Shuoliang Wang ◽  
Yiqun Yan
Keyword(s):  
Ordos Basin ◽  
Horizontal Wells ◽  
Entropy Method ◽  
Field Application ◽  
Tight Sandstone ◽  
Factors Affecting ◽  
Well Production ◽  
Advantages And Disadvantages ◽  
Single Well ◽  
Fractured Horizontal Wells

Block M of the Ordos Basin is a typical low-permeability tight sandstone gas accumulation. To develop these reservoirs, various horizontal well fracturing technologies, such as hydra-jet fracturing, open-hole packer multistage fracturing, and perf-and-plug multistage fracturing, have been implemented in practice, showing greatly varying performance. In this paper, six fracturing technologies adopted in Block M are reviewed in terms of principle, applicability, advantages, and disadvantages, and their field application effects are compared from the technical and economic perspectives. Furthermore, the main factors affecting the productivity of fractured horizontal wells are determined using the entropy method, the causes for the difference in application effects of the fracturing technologies are analyzed, and a comprehensive productivity impact index (CPII) in good correlation with the single-well production of fractured horizontal wells is constructed. This article provides a simple and applicable method for predicting the performance of multi-frac horizontal wells that takes multiple factors into account. The results can be used to select completion methods and optimize fracturing parameters in similar reservoirs.

Sign in / Sign up

Export Citation Format

Share Document