... long streamer with 48 channels. The sledge, dragged on the seabed, was tracked along intended 10m spaced lines with a shot point interval of 10m. The data processing was done for each shot and includes the manual picking of the dispersive curves and a 1D inversion modelling. The pseudo 3D gridding...

.... The module extracts the Stoneley wave transmission loss and reflections due to open fractures and estimates fracture aperture and permeability through a joint inversion of the transmission and reflection coefficients ( Augustine et al., 2017 ). The Bakr field's development encompasses a total of 151...

..., numerical reservoir models and simulations are generally required to capture the reservoir or formation heterogeneity that may be encountered during a test. However, the long computation time of such numerical simulation poses challenges for some critical interpretation tasks, such as model inversion. We...

... to reservoir-scale applications such as short-term and long-term microseismic monitoring and induced seismic monitoring. In such domains, the integration of sonic log-derived information into the joint inversion problem is critical as the scale is fundamentally different. Our algorithm respects the resolution...

... deterministic parametric inversion engine that provides a detailed 2D resistivity map along the well trajectory, resulting in enhanced capabilities for geosteering and reservoir characterization. This system was implemented in the horizontal wells drilled in Frade since 2022. For landing, an actual vertical...

... was one of the major constraints for static model construction. Though few intervals were cored in the most recent wells, coverage was not enough to characterize the reservoir, considering heterogeneous nature of the carbonate build up ( DTEK, FranLab, 2020 ). Seismic inversion allowed...

... velocity prediction. However, the accuracy of the velocity field created by conventional velocity modeling struggles to meet the requirements for accurate pore pressure prediction. To solve this problem, a new velocity modeling method is proposed that in depth domain is based on grid tomographic inversion...

... in a glaciomarine environment. This study showed potential benefits from seismic attributes to be applied to other regions for shallow marine site characterization. Seismic inversion methods also have been developed for marine site characterization. Attenuation Q factor ( Vardy et al., 2017 ) and acoustic...

.... However, all the above tools and inversion models are intended for nested tubulars. To the best of our knowledge, this is the first time a radial one-dimensional model of nested pipes is adapted to process cases with non-nested pipes such as dual completions. Figure 2 shows a schematic...

...-dimensional (1-D) inversions that accounts only for changes in resistivity above or below the wellbore. When geology is complex, resulting in lateral changes in resistivity, 3-D inversion of EM data is required to provide increased reservoir understanding. This paper presents a case study from offshore...

... and deployed. During the execution, the Ultra Deep Azimuthal Resistivity Tool real-time inversion mapped the reservoir geometry, revealing resistive layers within the Garn formation, thereby facilitating optimal placement of the well to achieve the set objectives. The well execution was largely considered...

... quantitative information on the composition of the sediments and their physical properties. Seismic inversion is a method to convert the wave signals from time-to space-domain and derive specific material properties by using iterative numerical modeling. In this paper, we introduce a probabilistic seismic...

... the predictability of geohazards for the entire reservoir overburden section. A variety of seismic volumes including amplitude reflection, amplitude versus offset (AVO), seismic inversion, seismic velocity, coherence data, etc. allows for the optimization of interpretations such as stratigraphy, structure, and rock...

... density upscaling profile), as this is then transferred to a probabilistic geophysical inversion, including the corresponding uncertainty propagation and. gas hydrate material property machine learning well-logging data seismic data upstream oil & gas artificial intelligence modeling...

... upstream oil & gas target layer gamma curve oilfield bottom water reservoir artificial intelligence machine learning application inversion oil column height reservoir characterization geological guidance technology drilling reservoir Zhen zhenlai . Research and Application...

...OTC-29382-MS Accurate Frequency Division Inversion Based on Seismic-Well Fusion in Seismic Data Superposition Area Wenbo Gao, Mingchun Wang, and Wenxiong Chen, Tianjin Branch of CNOOC Ltd; Xin Zhou, Schlumberger; Yue Mao, Wood Mackenzie Copyright 2019, Offshore Technology Conference This paper...

... Abstract The application of seismic inversion techniques to the foundation and drilling top hole zones has garnered significant interest in recent years. The shift towards more geologically complex and deeper water sites, combined with the global economic climate, has driven a requirement...

... confidence level. The application of method is shown through few examples. inversion tool response log analysis noise conductivity artificial intelligence electromagnetic property probability distribution frequency confidence interval permittivity well logging criteria reservoir...

... in terms of their P-impedances. These sands can be separated stratigraphically. The procedure consists of two primary steps. First is the inversion of post-stack amplitude data for P-impedance, relying on proper preservation of amplitudes. Second is the use of appropriately calibrated rock-physics models...

... Abstract This work provides an example of a technique to estimate reservoir properties from inverted seismic impedances. High-quality seismic data has made inversion of that data for elastic properties reliable. Petrophysical and elastic properties from well-log data, along with a rock-physics...