Article

Multilevel Composition: A New Method for Revealing Complex Geological Features in Three-Dimensional Seismic Reflection Data

Unraveling the huge amount of information contained in seismic reflection images is the main goal of seismic interpretation. In recent years, seismic interpretation capabilities have seen remarkable improvements, many of which are due to the development of a wide range of volumetric seismic attributes.

Article

Full-Azimuth Differential Seismic Facies Analysis for Predicting Oil-Saturated Fractured Reservoirs

This work presents a novel technology for azimuth-dependent facies analysis (Facies Analysis versus Azimuth – FACIVAZ) to improve the prediction of hydrocarbon-saturated permeable fractures in terrigenous carbonate reservoirs. The analysis is performed in the depth domain along high-resolution, full-azimuth, angle domain common image gathers created by the Aspen EarthStudy 360™ imaging system.

Article

Improved Seismic Images through Full-Azimuth Depth Migration

A seismic survey was conducted in a production oil field in Serbia. It was assumed that significant reserves still exist in the field, as well as additional undiscovered reservoirs. An advanced seismic imaging technology was required to further characterize the existing reservoirs and identify and characterize new ones.

Article

Applying Full-azimuth Depth Processing in the Local Angle Domain for Frequency Absorption versus Azimuth (FAVAz) Analysis to Predict Permeable, Oil-saturated Fractures

Predicting the permeability of fractured reservoirs is valuable for both reservoir assessment and drilling planning. Characterization of such systems requires advanced amplitude analysis, mainly based on seismic imaging results of the recorded wavefield.

Article

CRAM Gathers Enhance 3-D Inversion

Elastic inversion from common reflection angle migration (CRAM) gathers can accurately capture lithology-driven lateral variations in reservoir properties, particularly in a strongly deformed and faulted geologic environment.

Article

Synthetic Seismic Data Generation for Automated AI-Based Procedures with an Example Application to High-Resolution Interpretation

There has been growing interest in the use of machine learning technologies for processing and interpreting seismic data. Many procedures that traditionally have been performed using deterministic methods and algorithms can be effectively replaced by neural networks and other artificial intelligence methodologies, improving simplicity, efficiency and automation.

Article

Comparing Bayesian and Neural Network Supported Lithotype Prediction from Seismic Data

The past few years have seen increased interest in the application of machine learning in the industry, specifically to seismic interpretation.

Article

Geologically Constrained Velocity Models Improve Field Development

Seismic processing, imaging, characterization and interpretation are preferably executed as a continuous workflow to maintain seismic data integrity and consistencies. Geophysicists must construct a workflow from hundreds of applications and algorithms, and thousands of parameters, to achieve desired project outcomes. Almost all these applications and algorithms are based on assumptions about the underlying geological model complexity and subsurface conditions.

Article

Article by Oil Review: Meeting Business Goals with Autonomous Agents

In today’s VUCA (volatile, uncertain, complex and ambiguous) marketplace, it is important for manufacturers to identify and understand the impact of impeding disruptions and minimize safety, while at the same time meeting their profit objectives. In this Oil Review-Middle East article, AspenTech APM Sr. Director Mike Brooks explains how Autonomous Agents can help a plant identify unexpected events and processes that are out of the norm.

Article

A Sense of What is to Come

In the upstream oil and gas industry, multiphase metering is a central part of many processes, such as reservoir management, field development, operational control, flow assurance and production allocation. Industrial Internet of Things (IIoT) systems unlock online production monitoring and allow field operators to monitor their wells continuously and in real-time.

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