doi:https://doi.org/10.2118/197241-MS

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Publication Date

Mon Nov 11 2019

Journal Name

Day 3 Wed, November 13, 2019

DOI

https://doi.org/10.2118/197241-MS

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Drill Bit Selection Optimization Based on Rate of Penetration: Application of Artificial Neural Networks and Genetic Algorithms

Ahmed K.

Amel H.

Hayder

Haidar

Mortadha

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Abstract<p>The drill bit is the most essential tool in drilling operation and optimum bit selection is one of the main challenges in planning and designing new wells. Conventional bit selections are mostly based on the historical performance of similar bits from offset wells. In addition, it is done by different techniques based on offset well logs. However, these methods are time consuming and they are not dependent on actual drilling parameters. The main objective of this study is to optimize bit selection in order to achieve maximum rate of penetration (ROP). In this work, a model that predicts the ROP was developed using artificial neural networks (ANNs) based on 19 input parameters. For the modeling part, a one-dimension mechanical earth model (1D MEM) parameters, drilling fluid properties, and rig- and bit-related parameters, were included as inputs. The optimizing process was then performed to propose the optimum drilling parameters to select the drilling bit that provides the maximum possible ROP. To achieve this, the corresponding mathematical function of the ANNs model was implemented in a procedure using the genetic algorithm (GA) to obtain operating parameters that lead to maximum ROP. The output will propose an optimal bit selection that provides the maximum ROP along with the best drilling parameters. The statistical analysis of the predicted bit types and optimum drilling parameters comparing the actual flied measured values showed a low root mean square error (RMSE), low average absolute percentage error (AAPE), and high correction coefficient (R2). The proposed methodology provides drilling engineers with more choices to determine the best-case scenario for planning and/or drilling future wells. Meanwhile, the newly developed model can be used in optimizing the drilling parameters, maximizing ROP, estimating the drilling time, and eventually reducing the total field development expenses.</p>

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Publication Date

Sat Jan 02 2021

Journal Name

Journal Of The College Of Languages (jcl)

The Broken Wings: The character of the Arab Christian |Woman in Sami Michael's Novel "Trumpet in the Wadi" versus "Jasmine" by Eli Amir: הכנפיים שנשברו דמות האישה הערבית הנוצרית ברומן " חוצוצרה בוואדי " של סמי מיכאל לעומת דמותה ב " יסמין " של אלי עמיר

The Arabic character in Hebrew literature

Sami Michael

Eli Amir

Trumpet in the Wadi

Jasmine.

הדמות הערבית בספרות העברית

סמי מיכאל

אלי עמיר

חצוצרב בוואדי

יסמין.

Ali Mohammed

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Sami Michael and Eli Amir - two Israeli writers born in Iraq and of the same generation (Sami Makhail was born in Baghdad in 1926 and Eli Amir in 1937). They wrote in their novels, among other things, about Orientalism , love and femininity. They both lived wild, extroverted lives. They did not shy away from experiencing anything new that came their way, rebelled against conventions and acted provocatively; they enjoyed the shock and amazement that evoked around them. While trying to find their place in different family settings, they chose to present two Arab Christian heroines. The narrator in Jasmine is the speaker Noori-Eli himself. While the narrator of “Trumpet in the Wadi” is Huda the heroine herself. Both ar

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