... chemistry reduction conductivity drillstem/well testing fracturing fluid drilling fluids and materials artificial intelligence fla ppa 40 khan gel 12000 40 20 40 workflow fracture geometry technology conference drilling fluid selection and formulation machine learning scenario paper...

... is being applied for the understanding of issues related to casing integrity. artificial intelligence vicinity magnetic signature toolface well logging electric current complex subsurface intervention abandonment well interference casing and cementing casing integrity evaluation offset well...

... control schemes. Therefore, it is very important to find a simple and effective reservoir granularity prediction method. The existing prediction models by artificial intelligence method use single point logging data as eigenvalues to predict d50 and UC without considering the longitudinal continuity...

... technique based on artificial intelligence, in collaboration with industry, the government, and academia. This technique was an unsupervised learning model built using an encoder-decoder, long short-term memory architecture. The model was trained with the time series data of normal drilling operations...

... shengli oilfield machine learning deep learning screw pump progressing cavity pump upstream oil & gas proceedings application real time feature map intelligently identify algorithm petroleum engineer convolution layer deep learning model cnn artificial intelligence recognition...

.... Findings elucidated in this paper can contribute to minimizing the experimental time and operating cost of future studies in the field of surfactant-based EOR. flow in porous media chemical flooding methods waterflooding artificial intelligence fluid dynamics surfactant adsorption oil phase...

... with increasing well numbers. artificial intelligence gas lift real time system gas injection upstream oil & gas well performance drilling operation artificial lift system well problem surveillance analytical evaluation digitalization implementation base management team digitalization...

... lift system artificial intelligence equation of state upstream oil & gas production logging reservoir simulation reservoir surveillance gas injection gas lift production monitoring asset and portfolio management drillstem testing inflow performance flow correlation well model...

... away from the drilled wells. well control artificial intelligence annular pressure drilling machine learning log analysis hydraulic fracturing upstream oil & gas nonlinear projection relationship multi-layer linear calculator lost circulation prevent pre-drill risk seismic-based...

... in textbooks? are current artificial intelligent algorithms perfect and is there any limit? how could we deal with the relationship between prior knowledge and data-driven methods? what is the key point to keep data product competitive? Several specific scenarios are introduced as examples, such as ROP...

... condition limit of the field application of the developed empirical relation. reservoir surveillance pressure transient analysis production monitoring upstream oil & gas production control completion installation and operations machine learning artificial intelligence regression model...

... the plug was prematurely stopped 90 meters above the landing collar, which was revealed by the subsequent drilling and confirmed independently by the new plug tracking method. artificial intelligence displacement fluid normalized spectral energy density plot correction factor estimation upstream...

... seismic data machine learning upstream oil & gas artificial intelligence seismic neural network application workflow interpretation unravel carbonate reservoir heterogeneity central kalimantan proceedings indonesian petroleum association corridor interpretation neural network heterogeneity...

... Abstract In this paper we introduce for the first time an innovative approach for deriving Oil Formation Volume Factor (B o ) by mean of artificial intelligence method. In a new proposed application Self-Organizing Map (SOM) technology has been merged with statistical prediction methods...

... management frequency production operation solution upstream oil & gas domain model artificial intelligence production data management consistency production control reservoir surveillance information fusion production operation application ingestion digital oilfield arena workflow...

... is saved from manual individual runs to digital comprehensive optimization. machine learning data quality artificial lift system well performance production monitoring production control reservoir surveillance artificial intelligence production logging gas lift optimization problem...

... provides the most reliable knowledge base, advanced analytics tools, and practical application workflow to help the upstream industry become more efficient in applying collective human intelligence. knowledge management artificial intelligence expert system data mining eor technology analogue...

... with field implementation results of two well flow lines where the designed jobs have been successful in removing the entire wax deposits as predicted by the simulator. scale remediation wax remediation oilfield chemistry hydrate remediation hydrate inhibition paraffin remediation artificial...

... due to possibility of having skewness in failure data. Developing a reliable model for classifying level of WI impairment is becoming more crucial for the industry. Artificial intelligence (AI) includes advanced algorithms that use machine learning (ML) and computing powers efficiently for predictive...

... simulation upstream oil & gas model variant dynamic model fluid dynamics correlation workflow machine learning reservoir surveillance waterflooding variant static model cumulative oil profile oil incremental dynamic modeling artificial intelligence history matching objective function...