6 [1] Clay-rich mass transport deposits (MTDs) in the Ursa Basin, Gulf of Mexico, record 7 failures that mobilized along extensional failure planes and transformed into long runout 8 flows. Failure proceeded retrogressively: scarp formation unloaded adjacent sediment 9 causing extensional failure that drove successive scarp formation updip. This model is 10 developed from three-dimensional seis...

The presence of gas is a common feature in many seismic sections. However, the origin of the gas is often difficult to determine. Recently acquired very high resolution seismic profiles using an IKB Seistec boomer provide useful insight to the understanding of the gas origins in a range of environmental settings including sea lochs and coastal lagoons. The gas features are described both from a...

Facies modeling is an essential part of reservoir characterization. The connectivity of facies model is very critical for the dynamic modeling of reservoirs. Carbonate reservoirs are so heterogeneous that variogram-based methods like sequential indicator simulation are not very useful for facies modeling. In this paper, multiple point geostatistics (MPS) is used for facies modeling in one of th...

Manual stratigraphic interpretation of modern 3-D seismic images is a tedious and timeconsuming process. We present a method based on nonstationary predictive signal/noise separation for automatically recognizing the occurence of an arbitrary, predefined pattern, or facies template, in seismic images. Similarity of local data windows to the facies template is measured by an attribute which has ...

Deep neural networks (DNNs) can learn accurately from large quantities of labeled input data but often fail to do so when are scarce. DNNs sometimes generalize on test sampled different distributions. Unsupervised deep domain adaptation (DDA) techniques have been proven useful no labels available and distribution shifts observed in the target (TD). In this study, experiments performed seismic i...

The objective of this study is to demonstrate the power of integrating rock physics theory, measurement and simulation to improve facies prediction in an unconventional limestone and shale reservoir. Reliable facies prediction is a challenge in unconventional reservoir characterization because of complex geological heterogeneities. Both deterministic and probabilistic approaches are commonly us...

A large-scale data set including time-lapse (4D) elastic attributes and electrical resistivity is generated with the purpose of testing algorithms for reservoir modeling, reservoir characterization, production forecasting, and especially joint time-lapse monitoring using seismic as well as electromagnetic data. The Stanford VI reservoir, which was originally created by Castro et al. (2005), is ...

Interpretation of subsurface geology is greatly enhanced by 3-D seismic data, and this accounts for its ubiquity in today’s search for hydrocarbons. Seismic interpretation has two fundamental disciplines at its core: seismic geomorphology and seismic stratigraphy. Plan views allow the explorationist to apply principles of geomorphology, based on analogies with modern sedimentary systems, to int...

Optimal reservoir management requires reliable reservoir performance forecasts with as little uncertainty as possible. There is a need for improved techniques for dynamic data intergration to construct realistic reservoir models by using geostatistical techniques. This paper gives a method to create porosity models that honor interpreted pore volumes from well test data. Well porosity data, sei...

Attributes remain to be of the utmost importance for the characterization of seismic data. Especially in the scale-range where tuning effects play, the understanding of what is happening, and the subsequent technology to extract the proper attributes from the huge seismic data-volumes remains current. This study starts with the analysis of a set of typical petrophysical log shapes. These log sh...