... Abstract This paper conducts a thorough examination of the carbon dioxide (CO 2 ) solubility trapping mechanism, a pivotal facet of Carbon Capture and Storage (CCS) technology crucial for enhancing storage capacity. Leveraging the capabilities of Artificial Intelligence (AI), our objective...

..., and make prompt, informed decisions. geologist geology pressure transient testing reservoir surveillance machine learning flow metering well performance pressure transient analysis namazova identification muradov interpretation artificial intelligence production control application...

... and calibrate the rock type model. Once propagated to wells a multi scenario 3D rock type model was built. sedimentary rock geologist transitional environment log analysis machine learning sedimentology artificial intelligence depositional environment permeability interpretation heterogeneity...

... for predicting and assessing the sensitivity of parameters of CO 2 EOR projects, delivering accuracy and speed compared to existing methods. reservoir simulation modeling & simulation chemical flooding methods hyperparameter injection dataset subsurface storage artificial intelligence machine...

... testing geologist reservoir simulation complex reservoir shale gas reservoir geomechanics rock type machine learning interpretation artificial intelligence evolutionary algorithm facies heterogeneity geological model directional drilling sedimentology modeling & simulation reservoir...

... Abstract This paper aims to demonstrate the application of a new automatic geosteering method that combines probabilistic interpretation with artificial intelligence (AI) for look-ahead decision-making. We expand on our previous synthetic workflow by integrating the geosteering "robot...

... not require fine-tuning or re-training a language model, it remains one of the most accessible ways to tailor LLMs to proprietary knowledge bases. deep learning information retrieval geologist artificial intelligence chatbot machine learning evaluation dataset large language model...

...-based proactive optimization flow control equipment enhanced recovery icv operation producer artificial intelligence production monitoring proactive optimization algorithm criteria interval control valve optimization completion monitoring systems/intelligent wells workflow lateral...

... the environmental measures such as power usage and the need for chemicals to treat injected and produced water. geology artificial intelligence completion application reservoir producer geologist enhanced recovery aocd completion injection well water injection well waterflooding injection norway...

... production logging production monitoring reservoir simulation artificial intelligence machine learning drillstem testing hydrocarbon liquid reservoir surveillance case 1 linear regression mpm sm 3 production control allocation flowline simulated case 2 gor hypothesis information simulated...

... to adopt this technology. Additionally, it forms the basis for further enhancements, ensuring continued progress in this domain. geology geologist well logging artificial intelligence drilling measurement drilling data acquisition equation of state log analysis pvt measurement prediction...

...-effectively unlock the potential of remaining oil in mature fields. geology reservoir simulation reservoir surveillance geologist workflow artificial intelligence fluid dynamics flow in porous media production monitoring alessio saturation infill optimization journal production control...

... descriptions within a reservoir simulator. The PoroTwin thus shows the potential of a fully integrated experimental and automated learning environment. reservoir simulation simulator geology artificial intelligence fluid dynamics flow in porous media fluidflower department norway setup rig...

... of these areas will be addressed individually. communication protocol implementation drilling operation machine learning adoption information fusion specialist rig artificial intelligence recommendation drilling optimization interpretation prevention building trust successful adoption ai ml...

..., our study's novelty lies in its potential to drive forward more efficient and environmentally responsible CO 2 management strategies. deep learning geology geologist machine learning subsurface storage co 2 saline aquifer neural network carbon sequestration artificial intelligence...

... geological subdiscipline structural geology flow in porous media enhanced recovery machine learning subsurface storage artificial intelligence core analysis climate change sedimentary rock simulation pore geometry saturation rock typing aquifer reservoir simulation clastic rock rock type co...

... artificial intelligence production control multi-annulus temperature sensor fusion model production enhancement thermal expansion journal soft sensor fusion model hasan ar wellhead downhole intervention production monitoring hasan pressure monitoring a-annulus completion monitoring systems...

... or years to hours or days. machine learning neural network artificial intelligence full ensemble upstream oil & gas modeling & simulation data conditioning reservoir characterization reservoir simulation network model rejection multiple stochastic approach multiple scenario...

.... However, the relative reduction in emissions is larger than the relative reduction in oil production. optimization problem injector placement well control modeling & simulation injector oil production different injector location producer artificial intelligence upstream oil & gas...

... a conventional field trip. We illustrate our contribution using example VFTs designed for different audiences and geological topics. artificial intelligence geoscience concept health & medicine outcrop machine learning immunology buckley reservoir characterization upstream oil & gas...