... the potential to improve human intelligence via Knowledge Augment Intelligence through qualitative-to-quantitative analytics. deep learning machine learning application artificial intelligence arxiv preprint arxiv llm large language model information text mining sme guideline similarity...

... cement portland cement strength retrogression carbon dioxide emission percentage linear expansion expansion additive cement slurry application Introduction The manufacture of Portland cement is responsible for approximately 8% of the world's carbon dioxide emissions ( Olivier et al, 2016...

... utilizing an innovative artificial lift system. Results are compared to the previous use of rod lift technology. Additionally, features and benefits of the system for broader applications are discussed in detail. The artificial lift method examined in this paper involves replacement of existing artificial...

... complex reservoir shale gas play geological subdiscipline hydraulic fracture application proceedings multistage fracturing conductivity adsorbed ga united states government rock type reservoir geomechanics shale compaction rate transient analysis regional Introduction Material...

... introduce biases. These findings emphasize the importance of leveraging distributions instead of individual observations, especially in limited data applications. This research contributes to the existing literature by demonstrating the practical application of Bayesian modeling in gas production...

... production control index energy economics algarhy petroleum engineer reservoir quality index completion quality index oil shale shale gas quality index machine learning sweet spot quality index shale production performance application rock type reservoir surveillance correlation polygon...

... climate change portland cement association plc upstream oil & gas cement chemistry cement slurry manufacturer carbon footprint calcination simulation application Introduction As the world becomes more environmentally conscious, the action of lowering CO 2 production becomes a more...

... geologist geology machine learning friction reducer workflow algorithm concentration stage 1 wellhead dataset hydraulic fracturing fluid optimization proppant shale gas mudstone prediction validation operation machine learning approach fr concentration efficiency application accuracy...

... emissions reduction. The oilfield service company worked with the cement manufacturer over the course of two years to refine the product and evaluate it for oilfield application. Cement lab testing including thickening time, compressive strength, free water, fluid loss, transition time, and rheology...

... Abstract the Flowing Material Balance (FMB) has become popular in recent years because it does not require static (shut-in) pressure data that are needed for the traditional material balance application. This method is particularly useful for the shale reservoirs where shut-in pressure data...

... formations. One of the formations, "Upper Gir," is an ideal candidate for the application of the non-conventional well technology. We used a reservoir simulator ( SURE ) to create a dynamic model by incorporating geomechanical tools from a static model previously built using Petrel software. SURE was used...

... sweet-spot quality index soliman reservoir characterization machine learning index petroleum engineer sweet-spot quality index rqi application algarhy conventional behavior index completion quality index Introduction Shale formation "source rock" is composed of three types of solid...

..., stimulation, and production loads specific to this application. Industry available standards provide manufacturers and operators a framework for quality founded on best practices and testing. In some instances, existing testing protocols may not be adequate (e.g. insufficient or overconservative) to assess...

... Abstract The application of Artificial Intelligence for planning has received increased attention in the energy industry in the past few years, particularly for the increased production efficiency requirements and environmental standards. The objective of this paper is to show the successful...

... ( Mantell et al., 2011 ). This is especially critical for application of FRs in Marcellus shale that is known for challenging brine contents. This effect is more pronounced for some divalent cations than for monovalent ones. Addition of surfactant systems can improve FR performance by extending the salt...

... predictions on well production. artificial intelligence neural network shale gas reservoir hydraulic fracturing neural network model shale gas upstream oil & gas cumulative gas production exhibition application design scenario numerical simulation database spe machine learning complex...

... column with resulting hydrostatic pressure. The result is very high ROP with essentially 100% drilling efficiency, allowing the completion of intervals in one or two bit runs. A service company deployed a cross-functional product development team to optimize oilfield air bits for these applications over...

... a critical issue. Notwithstanding the attempt by several studies in the past few decades to understand and develop cutting-edge technologies to optimize the application of artificial lift in tight formations, there remains differing assessments of the best approach, AL type, optimum time and conditions...

... the application of a machine learning algorithm or modeling step. For example, because of the public nature of the data, considerable time was spent on cleaning and removing the outliers. This step may also require modeling procedures. The EUR values in the database were estimated using Decline Curve Analysis...

... MAPE ARMA model decline curve model estimation decline curve parameter Artificial Intelligence Upstream Oil & Gas gnl autocorrelation production history fitting procedure SSR application Introduction Decline curve analysis (DCA) serves as a popular method for determining EUR...