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ISSN: 2405-6561
CN: 51-1785/TE
e-ISSN: 2405-5816

Development and performance evaluation of a high temperature resistant, internal rigid, and external flexible plugging agent for water-based drilling fluids

During the drilling process for oil and gas production, a larger number of drilling fluids invade the formation, causing severe formation damage and wellbore collapsing, which seriously hinders the...

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Chemical-assisted MMP reduction on methane-oil systems: Implications for natural gas injection to enhanced oil recovery

Miscible natural gas injection is widely considered as a practical and efficient enhanced oil recovery technique. However, the main challenge in this process is the high minimum miscibility pressure...

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Research on corrosion defect identification and risk assessment of well control equipment based on a machine learning algorithm

In recent years, the risk assessment of well control equipment has faced some problems, such as shallow defect detection depth, large identification error of corrosion defect type, inaccurate equipment...

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A novel fractional grey forecasting model with variable weighted buffer operator and its application in forecasting China's crude oil consumption

Oil is an important strategic material and civil energy. Accurate prediction of oil consumption can provide basis for relevant departments to reasonably arrange crude oil production, oil import and...

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Predicting wax deposition using robust machine learning techniques

Accurate prediction of wax deposition is of vital interest in digitalized systems to avoid many issues that interrupt the flow assurance during production of hydrocarbon fluids. The present investigation...

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Application of artificial intelligence in predicting the dynamics of bottom hole pressure for under-balanced drilling: Extra tree compared with feed forward neural network model

This study used six fields data alongside correlation heat map to evaluate the field parameters that affect the accuracy of bottom hole pressure (BHP) estimation. The six oil field data were acquired...

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Research on identification model of element logging shale formation based on IPSO-SVM

In the process of shale gas drilling, geo-steering plays an important role in shale gas drilling. This paper analyzes the constituent elements of shale formation, and selects the most suitable constituent...

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Machine learning for recovery factor estimation of an oil reservoir: A tool for derisking at a hydrocarbon asset evaluation

Well-known oil recovery factor estimation techniques such as analogy, volumetric calculations, material balance, decline curve analysis, hydrodynamic simulations have certain limitations. Those techniques...

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Optimization of fracturing parameters for tight oil production based on genetic algorithm

It is difficult to determine the main controlling factors of tight oil production. In addition to the problem of uncontrollable prediction accuracy, the numerical prediction model established by the...

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Artificial intelligence model for predicting geomechanical characteristics using easy-to-acquire offset logs without deploying logging tools

This study focuses on predicting acoustic and mechanical rock properties using random forest and feed forward neural network models to evaluate the likelihood of developing efficient ways of handling...

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Artificial lift system optimization using machine learning applications

Currently, in the oil industry, artificial lift optimization (ALO) systems are dealing with different applications including well monitor and control, reservoir management, production optimization,...

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Application of ML & AI to model petrophysical and geomechanical properties of shale reservoirs – A systematic literature review

Extensive reviews and cross-comparison studies are essential to analyze the emerging developments in a specific field of research. In the past decade, hydrocarbon exploration and exploitation from the...

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Applications and theoretical perspectives of artificial intelligence in the rate of penetration

Artificial Intelligence (AI) is becoming popular for the Rate of Penetration (ROP) estimation, hence, the need to study the best techniques and their advantages over empirical models. Various literatures...

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New model for standpipe pressure prediction while drilling using Group Method of Data Handling

The continuous evaluation of the measured Stand Pipe Pressure (SPP) against a modeled SPP value in real-time involves the automatic detection of undesirable drilling events such as drill string washouts...

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On the prediction of methane adsorption in shale using grey wolf optimizer support vector machine approach

With the advancement of technology, gas shales have become one of the most prominent energy sources all over the world. Therefore, estimating the amount of adsorbed gas in shale resources is necessary...

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Application of ARIMA-RTS optimal smoothing algorithm in gas well production prediction

Gas field production forecast is an important basis for decision-making in the gas industry. How to accurately predict the dynamic production during gas field development is an important content of...

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On the prediction of geochemical parameters (TOC, S1 and S2) by considering well log parameters using ANFIS and LSSVM strategies

Geochemical parameters are useful properties to enhance hydrocarbon exploration certainty. Though, attaining these parameters, for instance total organic carbon (TOC), volatile and residual hydrocarbon...

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Developing a robust correlation for prediction of sweet and sour gas hydrate formation temperature

There are numerous correlations and thermodynamic models for predicting the natural gas hydrate formation condition but still the lack of a simple and unifying general model that addresses a broad ranges...

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Evaluation on the anisotropic brittleness index of shale rock using geophysical logging

Brittleness index plays a significant role in the hydraulic fracturing design and wellbore stability analysis of shale reservoir. Various brittleness indices have been proposed to characterize the brittleness...

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Investigation of pore structure alteration and permeability enhancement of shale matrix by supercritical water treatment after hydraulic fracturing

Shale gas reservoirs are unconventional tight gas reservoirs, which require horizontal wells and hydraulic fracturing to achieve commercial development. The fracture networks created by hydraulic fracturing...

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Comparative study on the inhibiting mechanism of inhibitor with primary amine groups and quaternary ammonium groups for sodium bentonite

Shale hydration and swelling is the main obstacle to the development of shale gas utilizing water-based drilling fluids (WBDFs). In this work, the inhibition mechanism of alkylammonium inhibitor and...

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Application of fuzzy comprehensive evaluation method to assess effect of conformance control treatments on water-injection wells

As an effective method to prolong the life of mature field, conformance control in water-injection well has been used wildly. Naturally, effect evaluation of conformance control has attracted great...

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Simulation of directional propagation of hydraulic fractures induced by slotting based on discrete element method

Hydraulic fracturing (HF) technology can safely and efficiently increase the permeability of coal seam, which is conducive to CBM exploration and prevent coal and gas outburst. However, conventional...

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The optimal semi-analytical modeling for the infinite-conductivity horizontal well performance under rectangular bounded reservoir based on a new instantaneous source function

The main objective of this study is to develop the optimal semi-analytical modeling for the infinite-conductivity horizontal well performance under rectangular bounded reservoir based on a new instantaneous...

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Experimental study of water imbibition characteristics of the lacustrine shale in Sichuan Basin

Through the stimulation method of large-scale hydraulic fracturing, the spontaneous imbibition capacity of water phase in shale reservoir has great influence on the effect of stimulation. Generally,...

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