TEECware GmbH - software branch of TEEC                                                      

TEECware GmbH is an independent software branch. It has been formed to concentrate TEEC' s activities in the fields of development, commercialising and marketing of geoscientific software for the upstream Oil and Gas industry. A broad range of software has already been developed in the past to meet a widespread market need, identified through TEEC's  worldwide reservoir consultancy work: 

crsTEEC is a seismic processing software designed to support the Common Reflection Surface (CRS) techniques. This software package includes standard seismic processing methods (e.g. filters) and CRS specific algorithms like data driven CMP stack or data driven CRS stack.
crsTEEC can be used for a better ZO stack, for residual static corrections, for velocity inversion, or for AVO data processing. crsTEEC also includes modules for the computation of AVO attributes and for data visualization.
Additional information from CRS processed data can be extracted from the calculated wavefield attributes. Using a new tomographic inversion process, these attributes are used for the calculation of a detailed interval velocity field. The inversion is very robust since it requires neither event picking in prestack data, nor continuous events in poststack data.

For application of crsTEEC see Technical Note 12Technical Note 15 , Technical Note 16 , Technical Note 18   and Technical Note 19

neuroTEEC allows the mapping of seismic facies by  Neural Network classification of volume attributes. This classification technique is based on a patent recently granted to TEEC. The workflow comes with  the assumption that changes in lithology, rock properties and fluid content should affect the seismic traces with respect to amplitude, shape and lateral continuity. Apart from the generation of dozens of seismic attributes which may be related to the reservoir heterogeneity, neuroTEEC comes with the spatial distribution of seismic facies classes which are used to identify features of the reservoir hetereogeneity that are otherwise hard to detect or time consuming to interpret. neuroTEEC is an ideal counterpart to other seismic reservoir tools released in the past.
neuroTEEC contains a non-neural classification option too. It is a seismic pattern classification tool which uses the seismic signature at the location of key wells or arbitrary defined locations to predict the reservoir quality, facies or lithology distribution in undrilled blocks. In other cases variations of gas saturation have been mapped by this new technique. Unlike other classification approaches the non-neural classification allows to generate seismic reference patterns from 3D seismic subvolumes. The 3D attribute approach has considerable advantages when compared to single trace classification techniques. Several algorithms are provided to determine the similarity of these 3D reference pattern and the examined volume.

For applications of NeuroTEEC see Technical Note 11 , Technical Note 14 and Technical Note 17

cohTEEC is an ensemble of software and workflows which allows the mapping of subtle lineaments such as faults and fractures or oil-gas-water contacts by a multi-trace filter approach. The size of the segments and the number of traces can be varied depending on the studied problem. cohTEEC attributes have been used to identify features that are hard to detect or time consuming to interpret. In numerous cases these features have been linked to the reservoir heterogeneity. A highlight of this programme is the fault attribute generator which allows to produce fault attribute maps at arbitrary depth levels.

For applications of cohTEEC see
Technical Note 9, Technical Note 10 , Technical Note 13 and Technical Note 17