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May 1, 2023 · This paper has demonstrated that estimating ROP downhole using machine learning is a viable method to enable downhole position control with fast control loops. An important consideration is how the error of the estimate impacts the processes using the estimate.
Jan 1, 2022 · Results show that the LSTM models trained using the combination of only the engineering parameters (ROP, WOB, WHO, SPP, and Torque) and the mud tank parameters (volume) do not have the capability to effectively evaluate gas kick size quantitatively in the downhole environment.
- Qishuai Yin, Jin Yang, Mayank Tyagi, Xu Zhou, Ning Wang, Gang Tong, Renjun Xie, Hexing Liu, Bohan Ca...
- 2022
5 days ago · Before the introduction of machine learning (ML) algorithms, reservoir parameter inversion was performed using linear regression and plate associations (App, 2017). However, these methods have low practical prediction reliability, owing to the nonlinear relationship between reservoir parameters and logging data ( Bai et al., 2022 ; Li et al., 2023a , Li et al., 2023b ).
Sep 18, 2023 · This paper introduces a method of coupling several downhole parameters using machine learning algorithms. Individual models for ROP, torque on bit (TOB), MSE, and stick-slip are built using a data-driven modeling approach using the random forests algorithm.
Oct 23, 2024 · An integrated machine learning (ML) workflow was successfully implemented to estimate the in situ stresses in subsurface rocks A constitutive relationship between ultrasonic wave velocities and s... Abstract The optimum performance of various subsurface operations such as stimulation treatments, wellbore drilling, horizontal well placement, underground mining, and tunneling rely on accurate es...
Aug 28, 2020 · The independent variables for the model are the drilling surface parameters, namely: flow rate (Q), hook load (HL), rate of penetration (ROP), rotary speed (RS), standpipe pressure (SPP), and weight-on-bit (WOB).
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Sep 3, 2023 · Motorized BHA ROP could be optimized by adjusting both the drilling parameters and mud motor output. Down hole failures could be detected using the proposed model when the model ROP is ...
