"Silicalock" - A Novel Sand-Control Process for Gas Wells

1983 ◽  
Vol 35 (11) ◽  
pp. 2087-2094 ◽  
Author(s):  
David R. Davies ◽  
Simon Zwolle ◽  
Frans H. Meijs
2012 ◽  
Vol 2 (1) ◽  
pp. 37-47 ◽  
Author(s):  
Yan Jin ◽  
Junhai Chen ◽  
Mian Chen ◽  
Fuxiang Zhang ◽  
Yunhu Lu ◽  
...  

2006 ◽  
Author(s):  
Alain Bourgeois ◽  
Pierre Puyo ◽  
Sebastien Bourgoin
Keyword(s):  

2006 ◽  
Author(s):  
Alain Bourgeois ◽  
Sebastien Bourgoin ◽  
Pierre Puyo
Keyword(s):  

2018 ◽  
Vol 3 (2) ◽  
pp. 105
Author(s):  
Pritish Barman ◽  
Dhiraj Kumar Deka ◽  
Nirupam Dhekial ◽  
Biki Saikia ◽  
Bhaskar Jyoti Gogoi

2012 ◽  
Vol 616-618 ◽  
pp. 864-869
Author(s):  
Pang Jin ◽  
Hong Liu ◽  
Xiao Lu Wang

Taking Sebei gas field as an example, this paper sorts hydrostatic pressure test data over the years and summarizes the reasons that the formation pressure drop curve generates a straight line, up-warping and recurvation from the perspective of water invasion, perforation adding, layer adjusting, sand burying, and sand control as well as inter-layer interference and inter-well interference, with typical wells analyzed and explained. On this basis, two kinds of mass balance correction models which have taken the offset of the pressure drop curve into account are proposed to calculate the dynamic reserves of gas wells with different offset shapes of pressure drop curves. Practical result shows the simple concept and strong practicality of this method, which provides an effective method for the accurate calculation of dynamic reserves of such gas reservoir.


2016 ◽  
Author(s):  
G. Dupuis ◽  
J. Bouillot ◽  
A. Zaitoun ◽  
G. Caremi ◽  
G. Burrafato

ACS Omega ◽  
2021 ◽  
Vol 6 (37) ◽  
pp. 23943-23951
Author(s):  
Rui Zhang ◽  
Junhao Wang ◽  
Shujie Liu ◽  
Zizhen Zhang ◽  
Lei Ma ◽  
...  

1997 ◽  
Vol 119 (4) ◽  
pp. 223-235 ◽  
Author(s):  
M. Kanj ◽  
M. Zaman ◽  
J.-C. Roegiers

The sand production problem is plaguing the petroleum industry by its adverse effects on thousands of oil and gas fields throughout the world. A tremendous amount of money is spent each year on attempts to predict and control sand influx and/or repair wells and equipment damaged by sand. Sand inflow into the well during production leads to casing abrasion and failure, formation damage and distortion, and frequent sand removal and cleaning. The sand control process has a major influence on the type of the well completion design and it influences the guidelines for the completion process. In addition, many wells are currently being produced below their potential in order to restrict sand influx or erosion, and/or as a result of poorly designed or installed sand control methods. Evidently, the sand prediction and control problem is exceedingly complex and suggests the use of heuristics and the appropriateness of the expert systems technology. An automated sand control consultant and expert system has been developed. The system is aimed at assisting users in predicting sand occurrence during production and in selecting and designing the proper sand-exclusion treatments. The knowledge base of the system is based on an easy upgrade, easy expand format and involves four primary modules, thus giving the end-user greater flexibility to tentatively access and evaluate different scenarios of knowledge processing. Input data can range from “not known” formation characteristics and/or well stimulation requirements, for which the system gives conservative recommendations based on the remaining known facts, completion characteristics of the hole, well history, and geological probability; to cases with detailed information available, in which case very elaborate and precise recommendations are prescribed. This paper describes the knowledge involved in various modules of the sanding system, as well as future plans and further developments.


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