Insight into spontaneous water-based working fluid imbibition on the dynamic tensile behavior of anisotropic shale
Y Guo, X Li, L Huang - Engineering Geology, 2022 - Elsevier
Shale gas is becoming a new energy development focus worldwide with advances in
horizontal wells and hydraulic fracturing, and spontaneous water-based working fluid …
horizontal wells and hydraulic fracturing, and spontaneous water-based working fluid …
Enhancing Fracturing Fluid Viscosity in High Salinity Water: A Data-Driven Approach for Prediction and Optimization
Optimizing fracture fluid viscosity in a high salinity medium (ie, seawater and produced
water) is challenging. Hence, we conducted numerous rheology experiments utilizing an …
water) is challenging. Hence, we conducted numerous rheology experiments utilizing an …
Predicting wettability of mineral/CO2/brine systems via data-driven machine learning modeling: Implications for carbon geo-sequestration
Effectively storing carbon dioxide (CO 2) in geological formations synergizes with algal-
based removal technology, enhancing carbon capture efficiency, leveraging biological …
based removal technology, enhancing carbon capture efficiency, leveraging biological …
Fracture identification in reservoirs using well log data by window sliding recurrent neural network
S Dong, L Wang, L Zeng, X Du, C Ji, J Hao… - Geoenergy Science and …, 2023 - Elsevier
Detecting fractures using well logs can be difficult due to the complex response of
conventional logs. To address this issue, a novel method called Fracture Identification by …
conventional logs. To address this issue, a novel method called Fracture Identification by …
Fractured Geothermal Reservoir Using CO2 as Geofluid: Numerical Analysis and Machine Learning Modeling
The effect of natural fractures, their orientation, and their interaction with hydraulic fractures
on the extraction of heat and the extension of injection fluid are fully examined. A fully …
on the extraction of heat and the extension of injection fluid are fully examined. A fully …
Data-Driven Machine Learning Modeling of Mineral/CO2/Brine Wettability Prediction: Implications for CO2 Geo-Storage
CO2 wettability and the reservoir rock-fluid interfacial interactions are crucial parameters for
successful CO2 geological sequestration. This study implemented the feed-forward neural …
successful CO2 geological sequestration. This study implemented the feed-forward neural …
A fast method to infer Nuclear Magnetic Resonance based effective porosity in carbonate rocks using machine learning techniques
A better estimation of the effective porosity of the reservoir rock is a critical task for
petrophysicist and well logs analyst. A majority of the current approaches to estimate the …
petrophysicist and well logs analyst. A majority of the current approaches to estimate the …
Shale damage simulation considering shale swelling during shale-liquid interaction
Z Li, G Li, H Li, J Liu, FB Zeng - Fuel, 2023 - Elsevier
Shale-liquid interactions can lead to shale swelling, shale damage and affect the
mechanical and other properties of shale. The relationship between shale swelling and …
mechanical and other properties of shale. The relationship between shale swelling and …
An Experimental Study and Machine Learning Modeling of Shale Swelling in Extended Reach Wells When Exposed to Diverse Water-Based Drilling Fluids
Shale swelling poses considerable challenges for companies involved in extended-reach
well drilling, particularly when it comes to maintaining wellbore stability. Despite the …
well drilling, particularly when it comes to maintaining wellbore stability. Despite the …
Application of machine learning techniques to predict viscosity of polymer solutions for enhanced oil recovery
Polymer flooding has become one of the most developed and implemented enhanced oil
recovery (EOR) techniques. The principal controlling factor in polymer flooding is the …
recovery (EOR) techniques. The principal controlling factor in polymer flooding is the …