Development of a New Cuttings-Transport Model for High-Angle Wellbores Including Horizontal Wells

1997 ◽  
Vol 12 (02) ◽  
pp. 129-136 ◽  
Author(s):  
T.I. Larsen ◽  
A.A. Pilehvari ◽  
J.J. Azar
2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Liu Yongwang ◽  
Liu Yu-ming ◽  
Qiu Heng-bin ◽  
Bai Yan-feng

Cuttings transport problem has long been recognized as one of the key difficulties in drilling horizontal wells, and the models in cuttings transport research are usually formulated with highly nonlinear equations set. When using Newton methods to solve real engineering problems with nonlinear equations set, the problems of result dependence on initial values, Jacobian matrix singularity, and variable outflow of its definition domain in iterations are three of the often-encountered difficulties. In this paper, the ant colony algorithm is applied to solve the two-layer cuttings transport model with highly nonlinear equations set. The solution-searching process of solving nonlinear equations set is transformed into an optimization process of searching the minimum value of an objective function by applying ant colony algorithm. Analyzing the results of the example, it can be concluded that ant colony algorithm can be used to solve the highly nonlinear cuttings transport model with good solution accuracy; transforming the solution-searching process of solving nonlinear equations set into an optimization process of searching the minimum value of the objective function is necessary; the real engineering problem should be simplified as much as possible to decrease the number of unknown variables and facilitate the use of ant colony algorithm.


2019 ◽  
Author(s):  
Maria Cecilia Bravo ◽  
Mirza Hassan Baig ◽  
Artur Kotwicki ◽  
Nicolas Gueze ◽  
Mathias Horstmann ◽  
...  

2016 ◽  
Author(s):  
Hui Xie ◽  
Chris Morriss ◽  
John Rasmus ◽  
Koji Ito ◽  
Aria Abubakar ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Pradeepkumar Ashok ◽  
John D' Angelo ◽  
Dawson Ramos ◽  
Michael Yi ◽  
Taylor Thetford ◽  
...  

Abstract Hole cleaning is important in preventing stuck pipe events during well construction operations. A cuttings transport model is traditionally used to determine the cleanliness of a hole, but its real-time rig site implementation is often made difficult by a lack of necessary inputs. There is a need for a simpler yet reliable approach to quantifying hole cleanliness using data readily available at the rig site. The paper proposes a method that relies on the detection of events over a long time horizon and the use of key parameters relating to such events to quantify hole cleanliness. These events are then related through duration and frequency to probabilistic features in a Bayesian network, to infer the probability that the hole cleaning process has been efficient or poor. These events are also weighted by their age to ensure that current beliefs are not strongly influenced by those that are far in the past. The method was deployed on a drilling advisory system and is currently used on rigs in North American land operations. The events and features found to be most relevant to quantifying hole cleanliness were the circulation rates during drilling, tight spots when moving the drillstring, bit hydraulics, and prolonged periods of inactivity. Proactive hole cleaning actions such as working of the pipe, off bottom circulation and pipe rotation were also considered. The Bayesian network model used by the proposed method was able to be run with low computational overhead (micro-seconds on a standard edge device) compared to a traditional cuttings transport model. This was enabled by an event logging procedure that keeps track of hole-cleaning events over time and consolidates several hours (days) of drilling information into relevant hole-cleaning features that can be processed quickly. The proposed method was validated with statistical methods using surface datasets from six wells involved in North American land operations. Through this validation it was determined that the method was highly effective in correctly characterizing hole conditions throughout the well operation. On the rig, the system was helpful in not only in alerting the drillers whenever hole cleanliness deteriorated but also providing the most likely causes of the deterioration. This provided the rig crew real-time guidance to make actionable decisions to avoid a stuck pipe situation. The proposed method differentiates itself from the published methods of hole cleaning analysis in two main aspects. First, it does not presume to estimate the cuttings bed height or accumulation over time. Instead, it attempts to infer the probability that the hole cleaning operations are effective over time using features in data that suggest efficient or poor hole cleaning. Second, this method provides a clear indication of when hole cleaning actions are needed and why.


2013 ◽  
Author(s):  
E. Cayeux ◽  
T. Mesagan ◽  
S. Tanripada ◽  
M. Zidan ◽  
K. K. Fjelde

Author(s):  
Evren M. Ozbayoglu ◽  
Flavio Rodrigues ◽  
Reza Ettehadi ◽  
Roland May ◽  
Dennis Clapper

Abstract As explorations advance and drilling techniques become more innovative, complex and challenging trajectories arise. In consequence, cuttings transport has continued to be a subject of interest because, if the drilled cuttings cannot be removed from the wellbore, drilling cannot proceed for long. Therefore, efficient cleaning of highly inclined and horizontal wellbores is still among the most important problems to solve, because these types of wells require specialized fluid formulations and/or specific hole cleaning techniques. There are numerous studies and methods that focus in cuttings transportation in highly inclined and horizontal wells. One of them is the use of viscosity and density sweeps. Sweep pills have been used in the drilling industry as a tool to improve hole cleaning. This report presents the analysis of the performance of different sweeps pills working independently and in tandem in polymeric, oil and synthetic based systems and the comparison between them. The main objective of this project is to provide experimental evidence on which types of fluids perform better under certain conditions by studying the effect of viscosity and density in the bed erosion process in highly inclined and horizontal wells. In order to achieve that, several fluid formulations were tested at different inclination angles (90, 75, 60 degrees) in the Small Indoor Flow Loop property of The University of Tulsa’s Drilling Research Projects. The results of the tests are presented in terms of volume of drilled cuttings removed from the test section and measured differential pressures. All the tests were conducted under atmospheric pressure and ambient temperature. Moreover, a 2-Layer model is used for estimating the erosion performance of sweeps for design purposes, and the model estimations are compared with experimental results. From the experiments, it was identified that polymeric, oil and synthetic based muds with similar density and rheological properties eroded and transported the drilled cuttings similarly under similar test conditions. Furthermore, pumping the sweep pills in tandem demonstrated higher cuttings transport efficiency when compared with the sweep pills applied independently.


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