Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Log data-driven model and feature ranking for water saturation prediction using machine learning approach
Log-based reservoir characterization is one of the widely used techniques to estimate the
reservoir properties and make decisions about future plans for hydrocarbon production. Use …
reservoir properties and make decisions about future plans for hydrocarbon production. Use …
Evaluation and prediction of the rock static and dynamic parameters
Determination of rock properties as materials, foundations and sites of civil projects, is one of
the priorities. This study aimed to assess the relationship between static elastic modulus (Es) …
the priorities. This study aimed to assess the relationship between static elastic modulus (Es) …
Role of CO2 in geomechanical alteration of Morrow Sandstone across micro–meso scales
We study the effect of CO 2 on the mechanical properties of Morrow Sandstone in
Farnsworth Unit oilfield in Texas, where supercritical CO 2 is being injected for sequestration …
Farnsworth Unit oilfield in Texas, where supercritical CO 2 is being injected for sequestration …
Artificial intelligence models for real-time bulk density prediction of vertical complex lithology using the drilling parameters
Practically, the rock bulk density is measured either through logging while drilling tools or
wireline logging techniques. However, these measurements are not always available, which …
wireline logging techniques. However, these measurements are not always available, which …
Estimation of static Young's modulus of sandstone types: effective machine learning and statistical models
N Liu, Y Sun, J Wang, Z Wang, A Rastegarnia… - Earth Science …, 2024 - Springer
The elastic modulus is one of the important parameters for analyzing the stability of
engineering projects, especially dam sites. In the current study, the effect of physical …
engineering projects, especially dam sites. In the current study, the effect of physical …
Hybrid connectionist models to assess recovery performance of low salinity water injection
The low salinity water injection (LSWI) is one of the emerging enhanced oil recovery
techniques to improve both microscopic and macroscopic displacement efficiencies by …
techniques to improve both microscopic and macroscopic displacement efficiencies by …
Prediction of the static elastic modulus of limestone using downhole seismic test in Asmari formation
Determining the elastic modulus of rocks is one of the crucial parameters in civil and
petroleum engineering. Asmari geological formation is widely outcropped in a significant …
petroleum engineering. Asmari geological formation is widely outcropped in a significant …
Appraisal of rock dynamic, physical, and mechanical properties and forecasting shear wave velocity using machine learning and statistical methods
Direct determination of shear wave velocity requires time, cost, and high accuracy due to the
complexity of the rock texture. In current research statistical and intelligent approaches have …
complexity of the rock texture. In current research statistical and intelligent approaches have …
Data-driven framework for real-time rheological properties prediction of flat rheology synthetic oil-based drilling fluids
Appropriate mud properties enhance drilling efficiency and decision quality to avoid
incidents. The detailed mud properties are mainly measured in laboratories and are usually …
incidents. The detailed mud properties are mainly measured in laboratories and are usually …
Bulk density prediction while drilling vertical complex lithology using artificial intelligence
Because of porosity and mineralogy disparity, rocks have a broad range of bulk densities, a
critical property that has an important role in rock characterization. Practically, the density of …
critical property that has an important role in rock characterization. Practically, the density of …