Publications

Below you can find several papers publish or co-published by Lumina Employees.

Spectral Inversion

Paper Description Authors
Tutorial: Spectral bandwidth extension — Invention versus harmonic extrapolation Tests of the frequency invention methods and harmonic extrapolation on field seismic data demonstrate that (1) the frequency invention methods modify the original seismic band  whereas harmonic extrapolation can be filtered back to the original band with good fidelity and (2) harmonic extrapolation exhibits acceptable ties between real and synthetic seismic data outside the original seismic band, whereas frequency invention methods have unfavorable well ties in the cases studied. Chen Liang, John Castagna, Ricardo Zavala Torres – 2017
Delineating thin sand connectivity in a complex fluvial system in Mangala field, India, using high resolution seismic data Sparse Layer reflectivity inversion constrained by high-resolution Spectral Decomposition doubled the effective bandwidth of seismic data, allowing for significantly improved definition of thin stratigraphic units on the 3D PSTM stack seismic data. Somasundaram, Das, Kumar – 2015
Increasing the effective bandwidth of seismic data through sparse-layer inversion: A case study from Mangala field, Rajasthan, India Sparse-layer reflectivity inversion constrained by high-resolution spectral decomposition resolved the connectivity of thin reservoir sands enabling the detailed interpretation of fluvial packages in the complex meandering system. Somasundaram, Chacko, Ravichandran, van Eykenhof
Prestack Elastic Waveform Inversion Prestack elastic waveform inversion is useful for delineating offshore, shallow, structurally simple, bright-spot events. Pan, Young, Castagna
Layer-thickness determination and stratigraphic interpretation using spectral inversion: Theory and application Seismic data that are inverted spectrally on a trace-by-trace basis show greater bedding continuity than do the original seismic data. Puryear, Castagna – 2008
Seismic Sparse-Layer Reflectivity Inversion Using Basis Pursuit Decomposition Sparse-layer inversion potentially improves detectability and resolution of some thin layers and reveals apparent stratigraphic features that are not readily seen on conventional seismic sections. Zhang, Castagna – 2011
Looking at Things from a Different Angle The application of Predict 3D shows geological details not observable in the conventional seismic data and allows for more detailed and accurate interpretations than are possible with the input data alone and conventional inversion methods. Poland, Gil

AVO

Paper Description Authors
Recent Advances in Seismic Lithologic Analysis The future of seismic lithologic analysis is bright with tremendous opportunity waiting for those that are willing to invest the time, effort, and capital needed to properly exploit the technology. Castagna

Spectral Decomposition

Paper Description Authors
The use of spectral decomposition to QC seismic data Spectral decomposition can be used to QC seismic data, evaluate the signal-to-noise, resolution, and fault detectability at each frequency, thereby determining the true bandwidth of the data. The amplitude spectrum of the data itself is not enough to address the real limits of resolution of the data, and a more detailed analysis, using spectral decomposition is useful. Elita De Abreu, Firas Jarrah, Oyintari Aboro, Azie Sophia Aziz, Ricardo De Campos, and John Castagna
Layer thickness estimation from the frequency spectrum of seismic reflection data We have shown from synthetic seismic data and real seismic data using spectral notch periodicity approach, the tendency of layer thickness underestimation using STFT spectrum, as a result of spectral smearing. Conversely, for the same analysis window, CLSSA using this approach yields more accurate layer thickness estimation. Arnold Oyem* and John Castagna
Extending the Limits of Technology to Explore Below the DHI Floor; Successful Application of Spectral Decomposition to Delineate DHI’s Previously Unseen on Seismic Data The application of Spectral Decomposition was an effective way of delineating deeper targets not seen before on original seismic data for DHI and stratigraphic interpretation. The delineated DHI response matched what was expected for better reservoir quality Class II hydrocarbon bearing sands. Fahmy, Matteucci, Parks, and Matheney. ExxonMobil Exploration Company and Jie Zhang ExxonMobil Research Company.
Hydrocarbon Prospecting in Deepwater Trinidad Using AVO and Spectral Decomposition Amplitude versus offset (AVO) and spectral decomposition (SD) techniques were used for direct hydrocarbon identification (DHI) to better quantify the risk during hydrocarbon prospecting. Moreno, Perez, Meyer, Huffman, Etemadi, Benkovics
Constrained Least-Squares Spectral Analysis: Application to Seismic Data CLSSA results in a time-frequency analysis with frequency resolution and time-frequency product superior to the STFT and the CWT. Application of CLSSA on real-data results in a tentative interpretation of architectural elements not observed using conventional spectral decomposition methods. Puryear, Portniaguine, Cobos, Castagna
The use of seismic attributes and spectral decomposition to support the drilling plan of the uracoa-bombal fields Spectral decomposition and pseudo density from multi-attributes inversion, proved to be a lithological / hydrocarbon predicting tool when properly calibrated with well logs. Cuesta, Pérez, Hernández, Carrasquel, Cabrera, Moreno, Castagna
Comparison of frequency attributes from CWT and MPD spectral decomposition of a complex turbidite channel model MPD shows better resolution of stratigraphic features than CWT by providing sharper definition of lateral stratigraphic changes and detection of subtle channel features associated with off-peak frequencies. Puryear, Tai, Castagna
Comparison of spectral decomposition methods Matching and exponential pursuit decomposition (MPD and EPD) do not involve windowing of the seismic data and thus have the best combination of temporal and spectral resolution as compared to the discrete fourier transform (DFT) and the continuous wavelet transform (CWT). Castagna, Sun
Spectral decomposition of seismic data with continuous-wavelet transform Two field examples illustrate that the TFCWT potentially can be used to detect frequency shadows caused by hydrocarbons and to identify subtle stratigraphic features for reservoir characterization. Sinha, Routh, Anno, Castagna – 2005
Inverse spectral decomposition Inverse spectral decomposition produces solutions with better time and frequency resolution than popular existing methods Portniaguine, Castagna – 2004
Instantaneous spectral analysis: Detection of low-frequency shadows associated with hydrocarbons Instantaneous Spectral Analysis method has a much better combination of temporal and frequency resolution than conventional spectral decomposition methods. This enables the use of it as direct hydrocarbon indicator. Castagna, Sun, Siegfried – 2003
Time-Frequency Attribute of Seismic Data Using Continuous Wavelet Transform CWT eliminates the subjective choice of a window length. The method can potentially be utilized as a direct hydrocarbon indicator. Sinha, Routh, Anno, Castagna – 2003
Application of spectral decomposition to gas basins in Mexico Spectral decomposition using wavelet transforms are useful as a direct hydrocarbons detector and as an indicator of stratigraphic variability in gas prone areas. Burnett, Castagna, Méndez-Hernández, Rodríguez, García, Vázquez, Avilés, Villaseñor – 2003
Spectral Decomposition of Seismic Data with continuous transform CWT method does not require preselecting a window length and does not have a fixed time-frequency resolution over the time-frequency space. TFCWT potentially can be used to detect frequency shadows caused by hydrocarbons and to identify subtle stratigraphic features for reservoir characterization. Sinha, Routh, Anno, Castagna

Phase Decomposition

Paper Description Authors
Phase Decomposition as a DHI in Bright Spot Regimes: A Gulf of Mexico Case Study

 

Phase decomposition is used as a Direct Hydrocarbon Indicator in low impedance light oil bearing sands in a deepwater Gulf of Mexico seismic dataset. Amplitude anomalies are laterally distributed among phase components, showing, for reservoirs of similar properties (including thickness), an evident separation between oil bearing and brine bearing reservoirs. The tuning thickness of the reservoir is determined by applying the technique in synthetic gathers, which provide a guideline to define the required dominant frequency of the seismic data prior application of the attribute.
Umberto Barbato*, Lumina Geophysical , Oleg Portniaguine, Lumina Technologies, Ben Winkelman, Talos Energy, John Castagna, University of Houston – 2017
Phase Decomposition

 

Phase Decomposition separates the trace into a 2D function of amplitude versus time and phase. The amplitude variation with time for a specific seismic phase is referred to as a phase component. Subtle lateral impedance variations occurring within thin layers can be greatly amplified in their seismic expression when specific phase components are isolated. For seismically thin layers, phase components are particularly useful in simplifying seismic interpretation.
John Castagna, Arnold Oyem, Oleg Portniaguine, and Understanding Aikulola – 2016
Phase Decomposition as a Hydrocarbon Indicator: A Case Study

 

Phase decomposition is applied to low-impedance hydrocarbon-bearing sands in a clastic section where sand thicknesses vary from the vicinity of tuning to well below tuning. Through Phase Decomposition the amplitudes separate into the expected phase components, resulting in a different spatial distribution of mapped amplitudes than on the original seismic data. Meza, Haughey, Castagna, Barbato, Portniaguine – 2016

Reservoir Characterization

Paper Description Authors
Simultaneous Inversion of Spectrally-Broadened 3d Seismic Data: Case Study for Olmos Unconventional Play, South Texas High-resolution seismic inversion may allow better definition of productive zones Porfiri, Castagna, Moriarty, Stewart
Composite Attribute from Spectral Decomposition for Fault Detection A composite fault detection attribute is more interpretable than conventional attributes in cross section views such as inlines and crosslines and shows discontinuities that are spatially more correct on time slices. Barbato, Castagna, Portniaguine, Fagin
Reservoir Delineation Using Spectral Decomposition, Spectral Inversion and Neural Network Analysis for an Oily Reservoir in Offshore Thailand A combination of spectral decomposition, spectral and neural net inversion methodologies demonstrated a potential tool for mapping sand occurrence across a complex Tertiary lacustrine basin. Cox, Castagna, Gil, Ripple, Rubio, Moon, Roever, Laird, Peace, The, Mitchell, Pringle, Htein
Fluid Contacts and Net-Pay Identification in Three Phase Reservoirs Using Seismic Data The application of 3D seismic attributes, spectral decomposition and pseudo impedances, led to the identification of fluid contacts within heavy oil reservoirs in Block II of the Uracoa Field, in Monagas Sur area, Eastern Venezuela. Gil, Pérez, Cuesta, Altamar, Sanabria

Survey Design

Paper Description Authors
Appropriate Acquisition and Processing for Shallow 3-D Seismic Surveys In seismic reprocessing, a ray trace analysis using an approximate interval velocity model is important to establish the range of incidence angles expected for the shallow target horizons. Moreno, Young, Castagna