An Alternate Method to API RP 14E for Predicting Solids Erosion in Multiphase Flow

2000 ◽  
Vol 122 (3) ◽  
pp. 115-122 ◽  
Author(s):  
Brenton S. McLaury ◽  
Siamack A. Shirazi

One commonly used method for determining oil and gas production velocities is to limit production rates based on the American Petroleum Institute Recommended Practice 14E (API RP 14E). This guideline contains an equation to calculate an “erosional” or a threshold velocity, presumably a flow velocity that is safe to operate. The equation only considers one factor, the density of the medium, and does not consider many other factors that can contribute to erosion in multiphase flow pipelines. Thus, factors such as fluid properties, flow geometry, type of metal, sand production rate and size distribution, and flow composition are not accounted for. In the present paper, a method is presented that has been developed with the goal of improving the procedure by accounting for many of the physical variables including fluid properties, sand production rate and size, and flowstream composition that affect sand erosion. The results from the model are compared with several experimental results provided in the literature. Additionally, the method is applied to calculate threshold flowstream velocities for sand erosion and the results are compared with API RP 14E. The results indicate that the form of the equation that is provided by the API RP 14E is not suitable for predicting a production flowstream velocity when sand is present. [S0195-0738(00)00203-X]

2012 ◽  
Vol 479-481 ◽  
pp. 1129-1132
Author(s):  
Wang Ming Bo

This paper gives an overview of erosion mechanisms in elbows in oil and gas production systems. The nature of the erosion process itself makes it very difficult to develop some definitive methods or models to prevent or predict the erosion in elbows in all conditions. This paper provides a review of the subject which will help petroleum engineers to handle the erosion problems in oil and gas industry. This review is given of different erosion mechanisms connected with sand erosion and the factors that influence them, and then the review goes on to look at particulate erosion in elbows in more details. Conclusions are then drawn based on the above analyses.


2012 ◽  
Vol 155-156 ◽  
pp. 722-725
Author(s):  
Wen Bin Cai ◽  
Guo Wei Qin ◽  
Yan He

In the oil and gas production process, serious sand production causes reservoir and pipe blocked, which makes productivity declined, even stopped. It's the efficient means of sand washing and plug removal by using high-pressure foam fluid jet. The structure and performance of sand washing device determines the efficiency of sand washing and plug removal. The device's nozzle consists of anti-blocking valves, three kinds of nozzles with self-drive, rotation characteristics during the operation. The nozzles include sand washing nozzle, couple nozzle and power nozzle. This device can be used in horizontal wells with complex well bore situation to carry out sand and plug removal. The device has a good effect on sand washing and plug removal in the oil field.


2021 ◽  
Author(s):  
A. I. Biladi

Sand production is almost an inevitable problem in oil and gas production facilities. As the reservoir depletes, sand grains from the reservoir begin to flow into the wellbore, this can cause serious problems to the wellbore. Excessive sand production can eventually plug and erode tubing, casing, flowlines, and surface equipment or even lead to formation collapse. In general, once sand production has occurred and if it is not handled properly it can end the production life of a reservoir and wells. This problem mostly occurs in mature fields with marginal economics for workover. The more reasonable option is to predict or mitigate the sand production, which can help identify the most economical way of sand control methods at the early stage. Many conventional sand prediction techniques have been developed which are based on field observation and experience, laboratory sand production experiments, and theoretical or numerical modeling. These conventional techniques have proven their effectiveness, but to achieve them can be time-consuming and costly. In this paper, we try to predict sand production with high efficiency and accuracy by using a quick simulator. Integrated Sand Control Analysis or ISCA is a simple simulator to help predict early sand production based on critical borehole and calculate critical drawdown pressure prediction. ISCA is supported by several mathematical models that function to predict various types of formation. Integrated with Machine Learning makes ISCA also compatible with big data analysis. The results in this study show that the combination of Machine Learning and analytical model can achieve accuracy above 90% based on the comparison of laboratory results with software predictions. With a high level of accuracy results this software can be considered as a reliable tool to predict and analyze sand production.


Author(s):  
Catur Sunawan Balya ◽  
Muhammad Taufiq Fathaddin ◽  
Rachmat Sudibjo

<p>Mawar Field is located in North Kalimantan Province. The field has an unconsolidated sandstone layer which is located in Tarakan formation. Porosity of the layer is more than 20%, while permeability of that is between 100 mD and 1000 mD. The zone which is poorly cemented is a source of sand problem. This sand production has an effect on the stability of oil and gas production. Sand production results in the formation of channeling around cement bonding. Sand production problem can be reduced. To overcome the acidity of the shallow formation, it can be done in two ways, that is Gravel pack using propan and stimulation using resin where the sand will be retained behind the formation. In research that has been done using core data and produced sand samples where the results obtained information about the characteristics of sand in shallow zones so that the appropriate treatment method can be recommended that is stimulation with resin. In the use of this resin there will be a permeability reduction of 15% -27% and a maximum fow rate reduction of 20%.</p>


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