Drilling muds

Fink, Johannes Karl

doi:10.1016/b978-0-323-85438-2.00001-3

Cited by 2 publications

(1 citation statement)

References 68 publications

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“…Most of the drilling fluids are formulated based on micro and macro-sized additives such as lignin, asphaltite and bentonite clay (Fink, 2021). However, some of them are still unable to perform the intended tasks due to their poor physical, chemical, mechanical, and thermal properties.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of graphene oxide using modified hammers method as fluid loss control additive for water-based drilling fluid (WBDF)

Nik Ab Lah,

Wan Zaini,

Othman

et al. 2023

MJCET

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Water-based drilling fluid (WBDF) is one of the commonly used fluids in drilling operations due to its low cost and environmental advantages compared to oil-based fluid (OBF) and synthetic-based fluid (SBF). The effectiveness of a drilling fluid is mainly dependent on its rheological and filtration properties and these properties are strongly correlated to the type of additives used during the formulation of drilling mud. This study aims to investigate the use of graphene oxide (GO) as a nano-additive in WBDF and evaluate its influence on the rheology and filtration properties of the drilling fluid. Basic rheological properties such as plastic viscosity, yield point, filter cake thickness and density were examined. GO was synthesised using modified Hummer’s method and characterised using x-ray diffractometer (XRD), Fourier transform infrared spectroscopy (FTIR), thermogravimetric analyser (TGA) and scanning electron microscope (SEM) to confirm the properties of GO. XRD analysis shows that graphite was successfully oxidised and exfoliated to GO. The FTIR analysis confirms the presence of C–O, C=C, and O–H bonds in the synthesised GO. The amount of GO added to the WBDF was varied and changes in the rheological properties (density, plastic viscosity, yield point and mud cake thickness) were studied. It was observed that drilling fluid developed using GO has better rheological and filtration properties than drilling fluid formulated without GO. The mud thickness was reduced after the addition of GO, indicating that GO-WBDFs have the capability to control fluid loss into the formation during drilling activities.

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Section: Introductionmentioning

confidence: 99%

Synthesis of graphene oxide using modified hammers method as fluid loss control additive for water-based drilling fluid (WBDF)

Nik Ab Lah,

Wan Zaini,

Othman

et al. 2023

MJCET

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Deep Neural Network Prediction of Mechanical Drilling Speed

Chen

Jin

Zhang³

et al. 2022

Energies

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Rate of penetration (ROP) prediction is critical for the optimization of drilling parameters and ROP improvement during drilling. However, it is still challenging to accurately predict ROP based on traditional empirical formula methods. This is usually the case for the development of the Wushi 17-2 oilfield block in the South China Sea. The Liushagang Formation is complex and the ROP is relatively low and difficult to increase. Ordinary data-driven ROP prediction models are not applicable because they do not take into account the complexity of formation conditions. In this work, we characterize the formation with acoustic transit time and build a data-driven ROP prediction model based on a deep neural network approach. By using the exploratory well data of the Wushi 17-2 oilfield for training and testing, the matching degree of the established model with the real data can reach 82%. In addition, we have developed a drilling parameter optimization process based on the ROP prediction model to improve ROP. Through on-site simulation, we found that the process can well meet the construction requirements. The established models and process flow are also applicable to the development of other formations and fields.

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Drilling muds

Cited by 2 publications

References 68 publications

Synthesis of graphene oxide using modified hammers method as fluid loss control additive for water-based drilling fluid (WBDF)

Synthesis of graphene oxide using modified hammers method as fluid loss control additive for water-based drilling fluid (WBDF)

Deep Neural Network Prediction of Mechanical Drilling Speed

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Drilling muds

Cited by 2 publications

References 68 publications

​​Synthesis of graphene oxide using modified hammers method as fluid loss control additive for water-based drilling fluid (WBDF)​

​​Synthesis of graphene oxide using modified hammers method as fluid loss control additive for water-based drilling fluid (WBDF)​

Deep Neural Network Prediction of Mechanical Drilling Speed

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Synthesis of graphene oxide using modified hammers method as fluid loss control additive for water-based drilling fluid (WBDF)

Synthesis of graphene oxide using modified hammers method as fluid loss control additive for water-based drilling fluid (WBDF)