..., the fracture height partially penetrating different layers leads to a layer-wise flow pattern which is reflected and captured in the production profile by curve-fitting the corresponding ML function parameters. We provide a workflow to guarantee consistency when applying the approach to each layer in field...

... a viable alternative for rapid CO 2 plume imaging. Here, we present a novel deep learning-based workflow that can efficiently visualize CO 2 plume in near real-time. Our deep learning framework utilizes field measurements, such as downhole pressure, distributed pressure and temperature as input...

.... Siloed data that may seem harmless but preclude a holistic view of reservoir management strategy. Siloes can be broken down either manually managing information in all the documents or implementing digital workflows to automatically collect them. Since RMPs are documents written by humans for humans...

... a hybrid pipeline are that it can serve as a first path for alarm triggering and it can generate a labeled dataset for future machine learning model training. In the current hybrid workflow, the main detecting algorithm uses the rolling regression and the Pearson correlation calculations of the input...

... solutions at early, intermediate, and late times during drawdown and buildup periods. We analyze the dominating heat transfer mechanisms at different regimes and further develop an analysis workflow of coupling sandface pressure and temperature data to quickly evaluate reservoir parameters. Early-time...

...Well Performance Investigation Based on the Detailed Nodal Analysis and Well Test Data The workflow starts with understanding the behavior of the well and its response to the various operations. At this stage, the goal of engineer is to perform a nodal analysis and build a well model in which...

... the reservoir and/or projects that are ready and would benefit from significant steam reduction. The methodology uses heat management knowledge, large datasets, and artificial intelligence (AI) technologies. The workflow exploits the log data, existing full-field earth model, the current steamflood conditions...

.... The assessment of the limiting conditions for achieving the optimum extraction in an efficient manner requires robust and user-friendly workflows to allow engineers to focus on the barrels, instead of on data management tasks. As mentioned earlier, the average water cut for the field is around 92...

...-based cost function. Finally, we updated the estimated petrophysical properties employing class-based rock physics models and compared the obtained result against conventional formation evaluation estimates. We applied the proposed workflow to the pilot well drilled in a saline water aquifer formation...

... in Kuwait are in early appraisal phase, the data set lacks pressure and production history. Hence the validation of frac geometries is not discussed. drilling operation well logging directional drilling geometry drillstem/well testing drillstem testing reservoir geomechanics workflow log...

... steps described by Muralidharan et al. (2022) , which are correcting the SRV for including formation water, applying the workflow for obtaining frac height and average petrophysical properties, and applying an empirical correlation to convert rectangular geometry. The value of this information became...

... to drilling challenges associated with wellbore stability issues. In a previously drilled exploratory well with minimal offset well data, low water injectivity was observed. Using the new workflow, another water-disposal well was planned with a slanted trajectory utilizing a rotary steerable system (RSS...

... carried out to justify the business case prior to the implementation process. Abstract A lean approach for qualification of inflow control is presented, involving full-scale experimental tests. The experimental data are converted into optimized well design by a simple and robust workflow...

... intelligence climate change equation workflow physics enhanced recovery reduction assumption crm objective injection injector implementation prescription scenario co 2 npv optimizer Introduction Much of the worldwide oil production is by water injection because of its availability...

... evaluation workflows use properties from literature or black oil models with built-in fluid properties, not considering the effects of different fluid compositions. This study analyzes petrophysical answers of a target Brazilian carbonate presalt well using a well-established multiphysics inversion workflow...

... Keeping in mind all the above and to improve the site-specific assessment of geochemical short- and long-term risks related to carbon sequestration, a streamlined study workflow ( Figure 1 ) was applied to the field of interest, which will be called hereinafter R field. The workflow relies...

... on the magnitude of the pressure sink and the distance of parent/child wells. However, quantitatively analyzing frac-hits impact remains unsolved. This paper presents a novel workflow combining RTA diagnostic plots and the prediction of dynamic drainage pore volume (DDPV) to analyze the frequent well/well fracture...

... In this workflow there are three important processes that we explain in the following subsections. They are highlighted in blue boxes in fig. 1 : Geo-Net. A new approach to generate plausible geological models in just seconds. The simulator, which solves the PDE that governs the fluid...

... paths, leading to a significant reduction of the incremental swept oil. This paper shows the results of an integrated workflow applied to a giant brown field with complex geology. The proposed workflow is based on a semi-automated process to optimize water injection, embodying the improvement...

... discharge cooler exchanger dynamic digital twin bgc sensor degradation workflow baseline condition monitoring The Performance Monitoring System model is configured with the monitoring modules and standard modules (Sensors, Compressors, Heat Exchangers, Control Valves etc). There is one instance...