... outperformed both CRM and ANN in terms of predictivity and interpretability, effectively combining strengths from both methodologies. The presented approach does not require the construction of a 3D model since it learns directly from production data, while preserving physical consistency. Moreover...

... and permeability assignment in static and dynamic models. While seismic and conventional porosity logs can guide the mapping of large scale features to define resource density, estimating permeability requires the integration of advanced logs, core measurements, production data and a general understanding...

... and production data (which are public in Canada) combined with the variability in the field properties provide us with a wealth of data to better understand the performances of polymer flooding in heavy oil. This case study will benefit engineers and companies that are interested in polymer flood, in particular...

... this FDP optimization process, every stage necessitates the use of smart components (AI & ML techniques) starting from reservoir/production data analytics to history match and forecast. A combined cloud computing and AI solutions are introduced. First, several static and dynamic uncertainty parameters...

... monitoring experience tracer system intelligent-completion oil tracer adnoc offshore tracer response petroleum engineer production data polymer matrix reservoir Inflow tracers is an alternative method that can provide downhole data for many years and was applied for the first time...

... technology in the area for one year and one month resulted in an incremental oil production of 71,539 bbl and reduced water production by 39,948 bbl. conformance improvement polymer production data oil production rate enhanced recovery carbonate reservoir zabegalovskoe field water encroachment...

... containing over 500 well penetrations in South East Asia. Pattern reviews have made use of reservoir pressure data, fault maps, sand/shale correlations, salinity variations between formation and Sea water, and injection and production data by carving out specific sections of the field containing injector...

... integrity. The objective of this paper is to present a case study on the development of automated real-time anomaly detection model for operation and production data at scale. The model is basically removing bad values and anomalies from real-time data platform. Outlier Detection and Treatment...

... forecasts, an algorithm capable of identifying and removing outliers, as well as identifying significant breaks in the historic production data has been implemented. This enables generating reliable forecasts without the need for manual user interaction, which makes the algorithms use particularly...

... fracture conductivity and single well productivity by creating artificial fractures. It is very vital to accurately characterize and simulate 3D spatial distribution of fracture networks for hydraulic fracturing technology. Sufficient production data has proved that the hydraulic fracture geometry...

... reservoir as a vertical superposition of a series of single layer reservoirs. An injection-production analysis model is established in each single layer reservoir respectively. And then a superposition model is established only by production data and logging tools data. Finally, the least square principle...

... that intelligently apply DCA methods to any number of wells in an unbiased, systematic, intelligent, and automated fashion. The tool reads production data, and multidisciplinary well information (e.g., drilling and completion data, geological data, artificial lift information, etc.). Then it performs cluster...

... the perforation strategy going forward. This study describes the first development of Khuff carbonates in Sultanate of Oman, with limited historical production data and no analogues in Sultanate of Oman. The study highlights the importance of continuous integration of new data in a decision driven modelling...

... fracturing fluid was correlated against the formation water saturation. The main conclusions from this analysis are; 1) High quality shale if the OWIP equal to the total injected water volume, and water-production data usually do not show the transient period and in some cases, boundary dominated flow (BDF...

... of the production data indicated that productivity was often limited by the factors not captured in the models (e.g., suboptimal cleanup). For proper planning, risk factors may be chosen to reflect the loss of productivity. In the next step, the learnings from the vertical wells served for characterizing...

.... This is a breakthrough because it allows having the simulator model always tuned and ready to be utilized. Artificial Intelligence differential evolution algorithm physical model application neural network flow rate simulator procedure machine learning objective function input parameter production data...

... enhancing production performance via improved well completion. In characterizing Shilaif's unconventional shale reservoir potential, we developed an integrated plan and workflow that included gathering and assessing the geological, petrophysical, and production data from a horizontal exploration well...

..., the geological system of Sabriyah field was studied using a static model to decipher the complexity of the reservoir—especially, the Najmah-Sarelu formation. A well's performance was analyzed using history-matching of the production data using a multi-component compositional dual-porosity model. To assess...

... problem artificial lift system Artificial Intelligence Upstream Oil & Gas production control gas injection frequency gas lift rate oscillation well head pressure Simulation Reservoir Surveillance gas lift Head Pressure production data Orifice optimization workflow recommendation...

... with production data. Due to data integration at a single platform, connecting and visualizing time series data with spatial location to arrive at certain aggregation or cluster is now rapid and credible. Observations and outcomes from data driven analysis correlate well with the recent years of historical data...