The Use of Near-Seafloor 3D Seismic Data in Deepwater Exploration and Production

2004 ◽  
Vol 29 (1) ◽  
pp. 35-43 ◽  
Author(s):  
G.S. Steffens ◽  
R.C. Shipp ◽  
B.E. Prather ◽  
J.A. Nott ◽  
J.L. Gibson ◽  
...  
2021 ◽  
Author(s):  
Anthony Aming

Abstract See how application of a fully trained Artificial Intelligence (AI) / Machine Learning (ML) technology applied to 3D seismic data volumes delivers an unbiased data driven assessment of entire volumes or corporate seismic data libraries quickly. Whether the analysis is undertaken using onsite hardware or a cloud based mega cluster, this automated approach provides unparalleled insights for the interpretation and prospectivity analysis of any dataset. The Artificial Intelligence (AI) / Machine Learning (ML) technology uses unsupervised genetics algorithms to create families of waveforms, called GeoPopulations, that are used to derive Amplitude, Structure (time or depth depending on the input 3D seismic volume) and the new seismic Fitness attribute. We will show how Fitness is used to interpret paleo geomorphology and facies maps for every peak, trough and zero crossing of the 3D seismic volume. Using the Structure, Amplitude and Fitness attribute maps created for every peak, trough and zero crossing the Exploration and Production (E&P) team can evaluate and mitigate Geological and Geophysical (G&G) risks and uncertainty associated with their petroleum systems quickly using the entire 3D seismic data volume.


2016 ◽  
Vol 4 (3) ◽  
pp. B17-B21 ◽  
Author(s):  
Donald A. Herron

Despite the ever-increasing use of 3D seismic data in modern exploration and production environments, 2D seismic data are still widely used in many projects. Mapping of horizons interpreted on 2D migrated seismic lines must necessarily address the problem of misties at line intersections, whether the data are migrated in the time or the depth domain. These misties are the result of the inability of 2D migration to account for the dip of reflections out of the vertical plane of the migrated section. This tutorial describes the technical basis for a simple procedure by which the deeper of the values for an interpreted horizon at the intersection of two 2D migrated seismic lines is used to guide mapping of the horizon.


2019 ◽  
Vol 7 (3) ◽  
pp. SG1-SG9
Author(s):  
Donald A. Herron ◽  
Timothy E. Smith

Despite the ever-increasing use of 3D seismic data in today’s exploration and production activities, 2D seismic data continue to play an important role in the oil and gas industry. Interpretations of 2D regional and megaregional surveys are essential elements of integrated exploration programs, establishing frameworks for basin analysis, structural synthesis, and play fairway identification and mapping. When correlating and mapping horizons on 2D migrated seismic data, interpreters use certain practical techniques for handling structural misties, which are caused by the fundamental limitation of 2D migration to account for out-of-plane components of dip.


2015 ◽  
Vol 55 (2) ◽  
pp. 492
Author(s):  
Howard Ewan ◽  
Frances Cullen

Since peaking at more than 200 MMbbl in 2000, offshore oil production in Australia has declined steadily by falling to below 100 MMbbl in 2011. Various initiatives and policies have been introduced by the Australian Government to encourage exploration of frontier basins to find a new oil province that may stop this production decline. By analysing the exploration and production profiles of established petroleum provinces in offshore Australia, the reasons behind similarities, differences and trends can be understood. This knowledge can be applied to future exploration efforts and provides a variety of possible outcomes should success come in immature and frontier provinces. Analysis of data mainly from the Bonaparte, Browse, Gippsland, North Carnarvon and, to a lesser extent, the Otway and Perth basins, shows that early success typifies these petroleum provinces. The degree of early success is, however, not always a good indication of later exploration results. While the creaming curves of some basins conform to the hypothetical basin creaming curve, characterised by large initial reserves increases and falling discovery size across time, it is evident that this cannot be universally applied. Considerable success much later in the exploration history of a basin is demonstrated, by success driven policy implementation, exploration incentivisation and increases in data acquisition. In this extended abstract, the importance of using advances in technology is demonstrated by reserves additions following the opening up of deepwater areas and the increased use of high-density 2D seismic and 3D seismic data. This information supports the notion that frontier areas may hold the key to alleviating dependence on foreign supply, success in immature basins is still possible and should not be overlooked.


2020 ◽  
Vol 90 (8) ◽  
pp. 796-820
Author(s):  
Reynaldy Fifariz ◽  
Xavier Janson ◽  
Charles Kerans ◽  
Benyamin Sapiie

ABSTRACT Oligocene–Miocene carbonates are prolific hydrocarbon reservoirs in Southeast Asia. Extensive subsurface data for this stratigraphic section has become available through exploration and production activities. A carbonate shelf in the study area showed an evolution in shelf architecture and lithofacies during this period. Despite the economic importance, complexity, and data availability, there have been few published studies on a comprehensive description and interpretation of carbonate-shelf evolution in the region. We utilized data from nineteen wells and 1,300 km2 of 3D seismic data from offshore East Java to study the Oligocene–Miocene Kujung Formation. An average of 700 m stratigraphic sections from this formation were analyzed. This interval spans 13.5 million years (My) from the Rupelian, Chattian, through Aquitanian constrained by numerical ages from 87Sr/86Sr. The Kujung Formation is subdivided into the Rupelian–Chattian mixed-siliciclastic–carbonate shelf (MSCS) and the Aquitanian carbonate-buildups shelf (CBS) based on shelf architecture and lithofacies. The boundary between the MSCS and CBS is interpreted to be near the Oligocene–Miocene boundary at 23 Ma. Accumulation rates in the CBS are up to three times greater than that of the MSCS. We propose new depositional models for the Kujung Formation, which was used to discuss the dominant controls on shelf evolution. This study suggests that although climate played a role in dictating environmental conditions during the Oligocene–Miocene, the dominant factors controlling carbonate-shelf evolution in the study area appear to have been antecedent topography, routing of siliciclastic sediment, and patterns of sea-level fluctuation.


Sign in / Sign up

Export Citation Format

Share Document