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- The main methods include the following four types: an online rotational Couette viscometer, pipe viscometer, mathematical and physical model or artificial intelligence model based on a Marsh funnel, and acoustic technology. This paper elaborates on the principle, advantages, limitations, and usage of each method.
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4 days ago · This study demonstrates significant advancements in the real-time predictive modeling of geomechanical properties during drilling operations. By integrating real-time drilling parameters with traditional LWD measurements, the research sets a new standard for estimating Vs and other critical
Useful information includes drilling parameters, gas and gas peak data, mud logs, analysis of rate of penetration, logging while drilling (LWD) and wireline data such as gamma ray, resistivity and sonic, and information about the well condition and how it changes during drilling.
May 21, 2021 · Therefore, it is important to measure the drilling fluid’s properties for drilling engineering in real time. This paper summarizes the real-time measurement methods for rheological...
May 21, 2021 · The real-time measurement technology of drilling fluid rheology mainly includes the following four methods: (1) online rotational Couette viscometer, (2) pipe viscometer, (3) mathematical and physical model or artificial intelligence (AI) model based on a Marsh funnel, and (4) tuning fork technology. 3.1.
- Naipeng Liu, Di Zhang, Hui Gao, Yule Hu, Longchen Duan
- 2021
Dec 1, 2023 · The research results show that the real-time measurement method of drilling fluid rheological performance parameters based on multi-objective inversion technology has high accuracy, superior reliability, and applicability.
Jan 1, 2024 · This study achieved an important step toward the combined, real-time AI prediction of key rheology and filtration metrics (FV, PV, and YP) from easy-to-measure drilling-fluid variable inputs (FD, S%, MFV) compiled into a single dataset from multiple WBDF compositions.
Apr 24, 2019 · From both laboratory and field test data provided, we have proved that the data-driven model built using multilayer perceptron technique can be successfully used for drilling performance monitoring and optimization, especially identifying the bit malfunction or failure, i.e., bit balling.
