... at utilizing quantum borehole gravity sensing for CO2 movement monitoring and the optimization of CO2 storage. The AI framework outlined the considerable potential of quantum gravity sensing for CO2 storage monitoring and optimization. upstream oil & gas deep learning artificial intelligence...

... algorithms—Linear Regression, Support Vector Machine (SVM), Analysis of Variance (ANOVA) and Gradient Boosting Machine (GBM) are used. The impact of three actual crude oil compositions with different GORs and CO2 contents is evaluated. The optimal operating pressure settings of CCS greatly minimize...

.... The workflow also allows for the standardization of all procedures and the creation of an automated system that reduces human error and effort upstream oil & gas data mining optimization drilling operation procedure visualization portal application artificial intelligence platform unitized...

... The main challenges, key considerations, decisions taken, and potential optimization options evaluated during the FEL process will be shared in this paper which may serve as a reference for future large scale offshore carbon capture and storage facilities. The scope of CCS processing...

... process. If the well is not producing (liquid loading has occurred) during the acquisition, fluid entries cannot be accurately identified, thus leading to indecision on subsequent intervention and workover programs. Abstract Reservoir surveillance and production optimization will remain...

... modeling Abstract This paper demonstrates the use of an integrated production optimization platform to determine the well performance for gas condensate wells in a statistical approach to increase the data accuracy for reservoir studies, simulate the field limitations, and provide recommendations...

... design optimization was successfully implemented leading to significant savings in life-time cost of these well. Completion optimization journey was performed in stages based on the challenges encountered throughout the life of the field. Due to risky nature of the reservoirs in these fields, wells were...

... target classification. The integration provides more depth in the hotspot selection by identifying the most productive and feasible locations for infill drilling. The locations are then used for well placement and trajectory design optimization. The well trajectories optimize factors in the hotspot...

...Introduction Abstract An adaptive differential evolution (DE) optimization algorithm and workflow are presented for non-uniform coarsening (NUC) of simulation grids resulting in smaller and faster models that maintain the key physics of the original model. The workflow presented here fully...

... to distinguish it from other system-generated tracking items. For RMP planning, below are some of the types that need to be linked with associated jobs. Well test validation Well allowable Reservoir integration RMP Rate Estimation and Allocation Well analysis Network optimization...

... Abstract Optimization of gas lift rates in an oil field with hundreds of wells is a complex challenge. Typically traditional control systems and operating strategies fail to optimize the problem due to this complexity. Typical gas lift optimization challenges in a field include the following...

... is to integrate the contextual and operational data of projects, assets, process and buildings. Within this framework, it encompasses digital solutions for visualization, virtualization, simulation, optimization and predictive analysis. More specifically, a process digital twin (PDT) encompasses solutions...

... Lift Optimization (GLO): The gas injection rate is optimized daily. The logic evaluates the well stability of the previous day, using the number of tubing head pressure spikes as an indicator. If the well tubing head pressure has gone beyond a certain number of erratic fluctuations, the well condition...

... installation and operations dissolvable plug cvm proppant fracturing operation petroleum engineer master valve optimization pressure Introduction Hydraulic Fracturing is essential for development of Tight Unconventional Reservoirs. Commercial development of such reservoirs require multistage...

... engineering workflows including history matching. Illarionov et al. (2021) developed an end-to-end neural network-based approach to 3D reservoir simulation and history matching using standard gradient-based optimization algorithms. The authors used geological parameters of a 3D reservoir model as input...

... optimization. Compared to conventional practice, this innovative approach allows field development optimization to be based on statistics instead of numerical models. The application of geoengineering to completion means converting geology and reservoir understanding into a form that supports the well...

... optimization initiative supported by a significant digitization effort. Contrary to the standard industry practice of utilizing black-oil formulations to capture fluid behavior, a compositional modeling framework was selected to address some key challenges: Compositional variation at reservoir-level, either...

... fractionation site and each site is having multiple trains. The APCs are implemented on train wise or unit wise but becomes very challenging when it is needed to address the complex optimization problem requiring horizontal and vertical integration of the individual APC controllers. Over the last few...

... upstream oil & gas well logging oilfield structural geology log analysis interpretation artificial intelligence lithology reservoir performance application coefficient society seismic inversion petroleum engineer accuracy optimization method inversion reservoir...

... was made to implement key operational parameters to improve efficiency during Coiled Tubing (CT) operations without sacrificing (Health, Safety, and Environment) HSE or (Service Quality) SQ during the completion life cycle associated with unconventional activities. Operational optimizations based...