A New Concept of Sand Production Prediction: Theory and Laboratory Experiments

Author(s):  
P.J. van den Hoek ◽  
G.M.M. Hertogh ◽  
A.P. Kooijman ◽  
Ph. de Bree ◽  
C.J. Kenter ◽  
...  
2000 ◽  
Vol 15 (04) ◽  
pp. 261-273 ◽  
Author(s):  
P.J. van den Hoek ◽  
G.M.M. Hertogh ◽  
A.P. Kooijman ◽  
Ph. de Bree ◽  
C.J. Kenter ◽  
...  

Author(s):  
Mohammad Hossein Shahsavari ◽  
Ehsan Khamehchi ◽  
Vahidoddin Fattahpour ◽  
Hamed Molladavoodi

1989 ◽  
Vol 4 (01) ◽  
pp. 15-24 ◽  
Author(s):  
N. Morita ◽  
D.L. Whitfill ◽  
I. Massie ◽  
T.W. Knudsen

2010 ◽  
Vol 50 (1) ◽  
pp. 623 ◽  
Author(s):  
Khalil Rahman ◽  
Abbas Khaksar ◽  
Toby Kayes

Mitigation of sand production is increasingly becoming an important and challenging issue in the petroleum industry. This is because the increasing demand for oil and gas resources is forcing the industry to expand its production operations in more challenging unconsolidated reservoir rocks and depleted sandstones with more complex well completion architecture. A sand production prediction study is now often an integral part of an overall field development planning study to see if and when sand production will be an issue over the life of the field. The appropriate type of sand control measures and a cost-effective sand management strategy are adopted for the field depending on timing and the severity of predicted sand production. This paper presents a geomechanical modelling approach that integrates production or flow tests history with information from drilling data, well logs and rock mechanics tests. The approach has been applied to three fields in the Australasia region, all with different geological settings. The studies resulted in recommendations for three different well completion and sand control approaches. This highlights that there is no unique solution for sand production problems, and that a robust geomechanical model is capable of finding a field-specific solution considering in-situ stresses, rock strength, well trajectory, reservoir depletion, drawdown and perforation strategy. The approach results in cost-effective decision making for appropriate well/perforation trajectory, completion type (e.g. cased hole, openhole or liner completion), drawdown control or delayed sand control installation. This type of timely decision making often turns what may be perceived as an economically marginal field development scenario into a profitable project. This paper presents three case studies to provide well engineers with guidelines to understanding the principles and overall workflow involved in sand production prediction and minimisation of sand production risk by optimising completion type.


2006 ◽  
Author(s):  
Bailin Wu ◽  
Nulwhoffal Mohamed ◽  
Chee Phuat Tan ◽  
Md. Wakif Sukahar ◽  
Teh Yat Hong ◽  
...  

2011 ◽  
Vol 51 (1) ◽  
pp. 567
Author(s):  
Ahmadreza Younessi ◽  
Vamegh Rasouli

Sand production prediction is becoming a regular study in reservoirs with weak or unconsolidated sands. Three main approaches for sanding prediction are analytical, numerical and experimental methods. Laboratory experiments have proven to provide more realistic results, with these being used to understand sanding mechanisms and validate analytical and numerical methods. A large number of experimental studies have been carried out by researchers worldwide—most of which have been performed on cylindrical-shape samples under uniaxial (i.e. σ1 ≠ 0, σ2 = σ3 = 0) or triaxial (i.e. σ1 ≠ 0, σ2 = σ3 ≠ 0) stress conditions. In general, a sanding experiment under true-triaxial stresses (i.e. σ1 ≠ σ2 ≠ σ3 ≠ 0) is more realistic in simulating downhole conditions. This stress condition can be simulated in the laboratory on a cubic sample. The first part of this paper provides a comprehensive but brief literature review on past sanding laboratory experiments. This will be followed by the introducition of a unique true-triaxial stress cell (TTSC) which was modified and used for sanding simulations in the laboratory. The applied modifications will be illustrated and the test procedure described. The sample preparation for testing synthetic samples will be explained and some preliminary results obtained will be presented.


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