How to Improve Rate of Penetration in Field Operations

Fear, Martyn

doi:10.2118/55050-pa

Cited by 23 publications

(3 citation statements)

References 18 publications

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“…In other words, they have more flexibly compared to uncontrollable parameters and they are more prone to be controlled and modified due to financial and geological conditions. Therefore, implementing the optimum (Fear, 1999). values of these parameters would be more feasible, resulting in a faster and safer drilling operation.…”

Section: Controllable Parametersmentioning

confidence: 99%

A review on half a century of experience in rate of penetration management: Application of analytical, semi-analytical and empirical models

Najjarpour

Jalalifar

Norouzi-Apourvari

2021

Adv. Geo-Energy Res.

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Rate of penetration management is a matter of importance in drilling operations and it has been used in some research studies. Although conventional approaches for rate of penetration management are mainly focused on analytical and semi-analytical models, several correlations have also been developed for this purpose. The history of rate of penetration management studies extends back more than half a century and ever since, research interest in this concept has never declined, making it a focus of industry and academic studies. In this article, some of these studies are reviewed to achieve a better understanding of rate of penetration management concept, its financial benefits and also its research capacities. This review reveals the most common rate of penetration management methods which applied analytical, semi-analytical and empirical correlations in different fields around the world. In other words, the main purpose of this study is to evaluate the research studies in which different models and correlations have been used as the main approach for rate of penetration management. Based on the results of this review, the best models for performing rate of penetration management studies and the best objective functions for optimization algorithms are introduced.

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Section: Controllable Parametersmentioning

confidence: 99%

A review on half a century of experience in rate of penetration management: Application of analytical, semi-analytical and empirical models

Najjarpour

Jalalifar

Norouzi-Apourvari

2021

Adv. Geo-Energy Res.

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“…Hemphill and Clark [25] studied the effect of mud chemistry on ROP through tests conducted with different types of PDC bits and drilling muds. Fear [26] conducted a series of studies using geological and mud logging data and bit properties in order to develop a correlation for estimating ROP. Ritto et al [27] introduced a new approach for optimization of ROP as a function of rotational speed at the top and the initial reaction force at the bit, vibration, stress, and fatigue limit of the dynamical system.…”

Section: Literature On Drilling Operationsmentioning

confidence: 99%

Applications of Artificial Intelligence Techniques in Optimizing Drilling

Koopialipoor¹,

Noorbakhsh²

2020

Emerging Trends in Mechatronics

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Artificial intelligence has transformed the industrial operations. One of the important applications of artificial intelligence is reducing the computational costs of optimization. Various algorithms based on their assumptions to solve problems have been presented and investigated, each of which having assumptions to solve the problems. In this chapter, firstly, the concept of optimization is fully explained. Then, an artificial bee colony (ABC) algorithm is used on a case study in the drilling industry. This algorithm optimizes the problem of study in combination with ANN modeling. At the end, various models are fully developed and discussed. The results of the algorithm show that by better understanding the drilling data, the conditions can be improved.

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“…This point is very important if additional adjustments are made on the choke. Accurate and proper documentation is a very important aspect during the well control [8]. Recorded data will prevent any confusion about the pressures changes than to rely on memory.…”

Section: Introductionmentioning

confidence: 99%

Kicks Controlling Techniques Efficiency in Term of Time

Darwesh¹,

Rasmussen²,

Al‐Ansari³

2017

ENG

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Kicks are the result of under balance drilling operation. Time consumed to control the kicks will be different in depending on the controlling technique. Drilling fluid considered as a first barrier to control formation pressure and well kicks. Any advance in drilling fluids leads to more controlled operation in term of time. This paper will follow the general increasing profile of pressure before entering the reservoir. Both methods of well controlling technique; circulating techniques and non-circulating have been implemented in many oil blocks. The process of designing and casing selection, setting depth and many other issues is predominately dependent on the utilization of accurate values of formation pressure. Formation pressures used to design safe mud weights to overcome fracturing the formation and prevent well kicks. Hence the emphasis has been placed on the practical utilization of kicks pressure near the reservoir. The presented relationships will help the engineer to better understand lithological columns and reduce potential hole problems during the kick appearance. Selecting the best well controlling practical method can lead to not harming the reservoir and more production later. Changes in some drilling fluid properties have been proposed with increasing the depth without damaging the reservoir. Suggestions in relation to the casing setting point of the intermediate section are also proposed. Standard equations with proper modification for gases and safety margin have been proposed for the future drilling operation in oil fields above the reservoir.

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How to Improve Rate of Penetration in Field Operations

Cited by 23 publications

References 18 publications

A review on half a century of experience in rate of penetration management: Application of analytical, semi-analytical and empirical models

A review on half a century of experience in rate of penetration management: Application of analytical, semi-analytical and empirical models

Applications of Artificial Intelligence Techniques in Optimizing Drilling

Kicks Controlling Techniques Efficiency in Term of Time

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