... in a depleted offshore storage site by characterizing legacy wells using a Legacy Wells Integrity Assessment (LWIA) workflow that is based on evaluating well construction and abandonment information with respect to the CO 2 storage reservoir and understanding complexity of potential well remediation...

... successfully delivered more than 50% time and cost savings by automatically classifying activities and identifying Phases and Sections for many hundreds of wells at more than 90% accuracy. DDR information from the Volve Field (24 wells) in the North Sea was processed by the cognitive system and individual NPT...

... university fluid dynamics mudrock mudstone pore network model permeability prediction deep learning artificial intelligence cnn-bilstm-attention model reservoir information geology flow in porous media prediction attention mechanism pore radius Introduction Dataset Establishment...

... the historical human errors that can occur when crews are under time stress or performing under the burden of many simultaneous activities. process safety human computer interaction big data drilling equipment artificial intelligence digital twin subsea bop digital twin real time system information...

..., which also enhances the operation sustainability. The methodology can be populated to other components across the drillstring and improve the total PHM processes of the operations. drillstring design digital model kelly mandrel drilling operation information vibration-driven fatigue field...

... with prior campaigns, and enabled a 5% reduction in drilling time per well. Employing a risk-based traffic light system (Red, Yellow, Green), the model allowed proactive management of subsurface challenges, enhancing operational efficiency. Insights geomechanical information from SA-1 and SA-2, the SA-3...

... learned from these operations and other operations performed around the globe in similar conditions can be applied to the wider industry. complex reservoir well test drillstem testing well test operation operation flow rate hydrate formation choke information well test package valve gauge...

... in the lateral section provided high-resolution imaging, enabling the accurate identification of fractures and other geological features that influence reservoir dynamics. A total of 60 features were identified, including 41 fractures and 19 bedding planes. This vital structural information played a crucial role...

... network machine learning deep learning artificial intelligence multivariate time sery accuracy multiplex visibility graph pipeline system operation condition information visibility graph liquified natural gas (lng) time sery attention mechanism recognition algorithm classification task kl...

... subdiscipline reamer information service provider drilling campaign suriname mitigation measure drilling fluid chemistry evaluation slurry exploration well objective international petroleum technology conference petronas suriname deepwater project PETRONAS Suriname explored for oil in Block...

... information) present significant challenges to traditional methods of incident classification and contextual understanding and are labor-intensive and error-prone. This paper addresses these challenges by proposing an approach that harnesses natural language processing (NLP) and computer vision techniques...

... information provided by the interpretation team, an initial model is established using structure-guided logging curve-constrained inversion techniques. After establishing the initial model, FWI (Full Waveform Inversion) technology is employed to update the velocity field above 3000 meters, followed by multi...

.... Such information serves as reference for higher layers of data processing and interpretation that correlate modeled behavior with actual measurements in real-time to identify anomalies and opportunities to improve processes. A common example is the identification of stuck-pipe conditions via correlation of modeled...

... Abstract In logging interpretation, electrical image data is used to identify important geological features such as fissures and cavities, providing crucial information for evaluating productivity. Therefore, obtaining high-quality, fully restored electrical image data is essential for both...

... and portfolio management enhanced recovery owc lobe sand trajectory international petroleum technology conference horizontal well resistivity production tn late life asset saturation information boundary thin shale break iptc-24788-ms inversion result lower lobe sand peninsular malaysia...

... vector embeddings from logs. First is to preprocess logs. Software logs are often messy, containing timestamps, error codes, messages, stack traces, etc. Preprocessing logs is essential to remove unnecessary noise and focus on useful information. Second, an embedding model that can convert the processed...

.... 5 c t ˜ = tanh ( W c ⋅ [ h t − 1 , x t ] + b c ) The forget gate controls the influence of the memory from the previous time step on the current time step, deciding which information should be discarded. Its mathematical model ( Eq.6 ) is ( Song...

... to characterize geological data, integrating these approaches with intelligent time-series algorithms to develop predictive models for the rate of penetration (ROP). These methodologies allow for the sequential acquisition of comprehensive well geological information and point-to-point real-time geological data...

... essential geomechanical and petrophysical information. Fluid is injected into the formation to crack open the rocks creating formation fractures. After the target volume or/and pressure have been achieved, the injection is stopped, and the well is then shut-in. The purpose of the pumping is to disturb...

..., and P90 time estimates based on the performance of offset wells. This tool leverages historical data from neighboring wells to offer valuable insights into expected performance metrics, helping operators make more informed decisions. Figure 5 Example of the plan structure, detailing all...