An Engineering Approach to Optimise Rate of Penetration through Drilling Specific Energy

2020 ◽  
Author(s):  
Mohammed Murif Al-Rubaii ◽  
Rahul. N Gajbhiye ◽  
Abdullah Al-Yami ◽  
Bashirul Haq ◽  
Guenther Glatz ◽  
...  
Keyword(s):  
Specific Energy ◽  
Rate Of Penetration ◽  
Engineering Approach

Evaluation of Derived Controllable Variables for Predicting Rop Using Artificial Intelligence in Autonomous Downhole Rotary Drilling System

2021 ◽  
Author(s):  
Kingsley Williams Amadi ◽  
Ibiye Iyalla ◽  
Yang Liu ◽  
Mortadha Alsaba ◽  
Durdica Kuten
Keyword(s):  
Real Time ◽  
Specific Energy ◽  
Penetration Rate ◽  
Drilling Process ◽  
Stick Slip ◽  
Conservation Of Energy ◽  
Rate Of Penetration ◽  
Mechanical Specific Energy ◽  
Drilling Parameters ◽  
Drilling System

Abstract Fossil fuel energy dominate the world energy mix and plays a fundamental role in our economy and lifestyle. Drilling of wellbore is the only proven method to extract the hydrocarbon reserves, an operation which is both highly hazardous and capital intensive. To optimize the drilling operations, developing a high fidelity autonomous downhole drilling system that is self-optimizing using real-time drilling parameters and able to precisely predict the optimal rate of penetration is essential. Optimizing the input parameters; surface weight on bit (WOB), and rotary speed (RPM) which in turns improves drilling performance and reduces well delivery cost is not trivial due to the complexity of the non-linear bit-rock interactions and changing formation characteristics. However, application of derived variables shows potential to predict rate of penetration and determine the most influential parameters in a drilling process. In this study the use of derived controllable variables calculated from the drilling inputs parameters were evaluated for potential applicability in predicting penetration rate in autonomous downhole drilling system using the artificial neutral network and compared with predictions of actual input drilling parameters; (WOB, RPM). First, a detailed analysis of actual rock drilling data was performed and applied in understanding the relationship between these derived variables and penetration rate enabling the identification of patterns which predicts the occurrence of phenomena that affects the drilling process. Second, the physical law of conservation of energy using drilling mechanical specific energy (DMSE) defined as energy required to remove a unit volume of rock was applied to measure the efficiency of input energy in the drilling system, in combination with penetration rate per unit revolution and penetration rate per unit weight applied (feed thrust) are used to effective predict optimum penetration rate, enabling an adaptive strategize which optimize drilling rate whilst suppressing stick-slip. The derived controllable variable included mechanical specific energy, depth of cut and feed thrust are calculated from the real- time drilling parameters. Artificial Neutral Networks (ANNs) was used to predict ROP using both input drilling parameters (WOB, RPM) and derived controllable variables (MSE, FET) using same network functionality and model results compared. Results showed that derived controllable variable gave higher prediction accuracy when compared with the model performance assessment criteria commonly used in engineering analysis including the correlation coefficient (R2) and root mean square error (RMSE). The key contribution of this study when compared to the previous researches is that it introduced the concept of derived controllable variables with established relationship with both ROP and stick-slip which has an advantage of optimizing the drilling parameters by predicting optimal penetration rate at reduced stick-slip which is essential in achieving an autonomous drilling system. :

Reverse Engineering: A New Well Monitoring and Analysis Methodology Approaching Playing-Back Drill-Rate Tests in Real-Time for Drilling Optimization

2016 ◽  
Vol 139 (1) ◽  
Author(s):  
Andreas Nascimento ◽  
Asad Elmgerbi ◽  
Abbas Roohi ◽  
Michael Prohaska ◽  
Gerhard Thonhauser ◽  
...  
Keyword(s):  
Reverse Engineering ◽  
Real Time ◽  
Specific Energy ◽  
Petroleum Exploration ◽  
Rate Of Penetration ◽  
The Past ◽  
Analysis Methodology ◽  
Drilling Optimization ◽  
Rate Test ◽  
Energy Formulation

Different researches have been developed during the past years aiming addressing challenges still faced in petroleum exploration. Rate of penetration and specific energy studies have been the main focuses in trying to boost operational efficiency. The combination of both techniques accomplished with a preoperational test (drill-rate test) may allow as a new trending tool the best side of the drillability optimization to take place. Further, by having these implemented in real-time, an interesting methodology result in seeing the penetrating processes as a step-by-step where drilling mechanics parameters can be more dynamically adjusted. Thus, the main focus of this paper is to address a combination of rate of penetration together with a specific energy formulation in parallel with a possible dynamic and real-time drill-rate test plotted graphs for sake of the drilling optimization enhancement.

Dynamics of Drilling Systems With an Antistall Tool: Effect on Rate of Penetration and Mechanical Specific Energy

SPE Journal ◽  
2019 ◽  
Vol 24 (05) ◽  
pp. 1982-1996
Author(s):  
Thijs Vromen ◽  
Emmanuel Detournay ◽  
Henk Nijmeijer ◽  
Nathan van de Wouw
Keyword(s):  
Specific Energy ◽  
Delay Differential Equations ◽  
Steady State Response ◽  
Deep Drilling ◽  
Rate Of Penetration ◽  
State Response ◽  
Mechanical Specific Energy ◽  
Downhole Tool ◽  
Simulation Results ◽  
Delay Differential

Summary This paper considers the effect of an antistall tool on the dynamics of deep drilling systems. Field results show that the antistall tool increased the rate of penetration (ROP) of drilling systems when compared with ROP in offset wells drilled without this tool. We developed a model–based approach to investigate the effect of this downhole tool on the ROP and on the mechanical specific energy. Toward this, a drillstring model including the antistall tool was constructed; it describes the coupled axial/torsional dynamics in the form of delay differential equations. Simulation results and a dynamic analysis based on averaging the obtained steady–state response show that an increased drilling efficiency was obtained using the antistall tool, resulting in a higher ROP.

Estimating Formation Tops while Drilling Using Rate of Penetration ROP and Mechanical Specific Energy MSE

2021 ◽  
Author(s):  
Saeed Alshahrani ◽  
Chris Ayadiuno
Keyword(s):  
Specific Energy ◽  
Accurate Determination ◽  
Operational Decisions ◽  
Rate Of Penetration ◽  
Mechanical Specific Energy ◽  
Geological Features ◽  
Weight On Bit ◽  
Wireline Logs ◽  
Key Steps

Abstract Accurate determination of formation tops while drilling is a critical part of exploration geology workflow. Operational decisions on coring, wireline logging, casing, and final well depth largely depend on it. One of the commonly used methods for picking formation tops while drilling is to correlate the rate of penetration (ROP) of the new well to wireline logs from offset wells where there is no logging while drilling (LWD) data. Picking formation tops based on only ROP from a new well can result in picking the wrong formation tops. To improve the workflow and outcome, this paper proposes the combination of ROP and Mechanical Specific Energy (MSE) for estimating formation tops while drilling. MSE is a measure of the energy required to crush or drill through a unit volume of rock. Because MSE is related to rock strength, it can be correlated to changes in lithofacies and formation tops. There are three key steps necessary for utilizing mechanical specific energy to estimate formation tops. First, select the input drilling data relevant to the applicable MSE equation. There are several empirical equations in the literature which can be used for estimating MSE. Input data are ROP, Weight on Bit (WOB), Bit Size (BS), Rotation Per Minute (RPM), and Torque (TORQ) from both the offset wells and the new well. Second, utilize a predetermined empirical equation to estimate MSE. Third, correlate MSE and ROP from the new well to both MSE, ROP, and wireline logs from offset wells (where available) to determine formation tops in the new well. Application of the proposed workflow to two wells show 1) distinct bed boundaries, which agree with formation tops picked using wireline logs; (2) that including MSE increases confidence and reliability of the data and makes it easy to identify the different formation boundaries based on the observed features of both MSE and ROP in the new well; and (3) that MSE variations are sensitive to formation strength, which may indicate rock mechanical changes and formation heterogeneity. This paper presents an alternative method of picking formation tops using MSE and ROP while drilling. The preliminary results based on the two test wells showed over 95% match with those picked using wireline logs of the same new well. As a result, this workflow enhances the ability of geoscientists to correlate subsurface geological features, reduces the uncertainty associated with picking formation tops, casing, and coring depths. Furthermore, it improves the confidence in the result, enhances the quality of operational decisions, and reduces the non-productive time (NPT) and well-cost.

scholarly journals Rate of Penetration Prediction Utilizing Hydromechanical Specific Energy

Drilling ◽  
2018 ◽  
Author(s):  
Omogbolahan Ahmed ◽  
Ahmed Adeniran ◽  
Ariffin Samsuri
Keyword(s):  
Specific Energy ◽  
Rate Of Penetration
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