Development and Qualification of a Unique ICD Completion Design to Improve Operational Well Efficiency

2020 ◽  
Author(s):  
Rommel E. Arias ◽  
Khalid S. Al Mohanna ◽  
Chengjun Guo ◽  
Abdurrezagh Awid
Keyword(s):  
1973 ◽  
Vol 99 (2) ◽  
pp. 203-206
Author(s):  
Yaron M. Sternberg
Keyword(s):  

2021 ◽  
pp. 159-167
Author(s):  
A. A. Zernin ◽  
E. S. Ziuzev ◽  
A. S. Sergeev ◽  
R. M. Khismatullin ◽  
M. A. Starikov

The authors of the article have summarized the experience of multilateral well application, performed an efficiency analysis of multilateral wells vs horizontal wells in Rosneft Oil Company's fields with various subsurface architecture. The algorithm for multilateral well efficiency estimation, compared to other type of well completions, was developed. This algorithm is based on the selection of areas for well locations with similar reservoir properties, reservoir energy conditions, and reservoir development conditions to evaluate production startup parameters, decline rates, cumulative parameters for the areas of over 6 month production. A matrix of multilateral well applicability in various geological conditions was generated, and recommendations for preferable well design were made. This type of analysis was conducted for the first time due to collection of sufficient statistical data, because of a multiple increase in the amount of drilling complex wells in the recent years. The obtained results provide an opportunity to design an efficient field development system for new assets, perform an adjustment of brownfields development systems, select multilateral well design for certain geological conditions based on lessons learned.


2012 ◽  
Vol 433-440 ◽  
pp. 6527-6533 ◽  
Author(s):  
S. Harikrishna ◽  
M.A.H. Farquad ◽  
Shabana

Credit Scoring is the use of statistical/intelligent models to transform relevant data into numerical measures that guide the management and decision makers to make decisions such as accept/reject, pricing, pay/no pay and collections. This study focuses on predicting whether a credit applicant can be categorized as good or bad from the supplied data. Many researchers have recently worked on an ensemble of classifiers for such problems. It is observed from the literature that feature selection reduces the complexity of the system and improves the accuracy as well. Efficiency of SVM for feature selection and as a classifier in tandem and its application to credit scoring is analyzed in this paper. During the first step, SVM-RFE (Recursive Feature Elimination) is employed for feature selection and during the second step various architectures of SVM viz., Standard SVM, PSO-SVM and EVO-SVM are employed for classification purpose. The effectiveness of various approaches tested are evaluated using UK credit data and German credit data. It is observed that feature selection using SVM-RFE not only simplifies the process of credit scoring but also improves the accuracy of the system.


1998 ◽  
Vol 4 (1) ◽  
pp. 1-6
Author(s):  
M. A. Fazal ◽  
Toshihiko Kawachi ◽  
Ken Hiramatsu ◽  
Eiji Ichion

2009 ◽  
Vol 11 (3) ◽  
pp. 1-23 ◽  
Author(s):  
Rolf J. Langhammer

This paper discusses the pros and cons of a Transatlantic Free Trade Area (TAFTA) in comparison with an informal trade-facilitating marketplace between Europe and the US. It finds considerably more cons, especially since TAFTA would be expected to produce larger, more detrimental discriminatory effects on dynamic non-member economies, mainly in Asia but also in food-exporting regions as well. Efficiency-enhancing effects are argued to be achievable under a marketplace concept which does not separate insiders from outsiders. It is also shown that in foreign direct investment (FDI) and FDI-related service trade, TAFTA seems redundant as in recent years bilateral capital and trade flows have proven to be buoyant without preferential treatment.


2011 ◽  
Author(s):  
Daniel Allen Durey ◽  
Charles Elmer Bell ◽  
Stephanie A. Weiss

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