Browsing by Subject "seismic attributes"

Now showing 1 - 13 of 13

Access status: Open Access ,
An advanced ensemble modeling approach for predicting carbonate reservoir porosity from seismic attributes
(Wydawnictwa AGH, 2023) Topór, Tomasz; Sowiżdżał, Krzysztof
This study uses a machine learning (ML) ensemble modeling approach to predict porosity from multiple seismic attributes in one of the most promising Main Dolomite hydrocarbon reservoirs in NW Poland. The presented workflow tests five different model types of varying complexity: K-nearest neighbors (KNN), random forests (RF), extreme gradient boosting (XGB), support vector machine (SVM), single layer neural network with multilayer perceptron (MLP). The selected models are additionally run with different configurations originating from the pre-processing stage, including Yeo–Johnson transformation (YJ) and principal component analysis (PCA). The race ANOVA method across resample data is used to tune the best hyperparameters for each model. The model candidates and the role of different pre-processors are evaluated based on standard ML metrics – coefficient of determination (R2), root mean squared error (RMSE), and mean absolute error (MAE). The model stacking is performed on five model candidates: two KNN, two XGB, and one SVM PCA with a marginal role. The results of the ensemble model showed superior accuracy over single learners, with all metrics (R2 0.890, RMSE 0.0252, MAE 0.168). It also turned out to be almost three times better than the neural net (NN) results obtained from commercial software on the same testing set (R2 0.318, RMSE 0.0628, MAE 0.0487). The spatial distribution of porosity from the ensemble model indicated areas of good reservoir properties that overlap with hydrocarbon production fields. This observation completes the evaluation of the ensemble technique results from model metrics. Overall, the proposed solution is a promising tool for better porosity prediction and understanding of heterogeneous carbonate reservoirs from multiple seismic attributes.
Access status: Open Access ,
An evaluation of the impact of shot and receiver lines spacing on seismic data quality - the Wierzbica 3D AGH seismic experiment
(Wydawnictwa AGH, 2020) Barmuta, Jan Paweł; Korbecka, Monika; Hadro, Piotr; Pieniądz, Krzysztof; Stefaniuk, Michał; Dzwinel, Krzysztof; Buniak, Arkadiusz
An attempt was made to describe the quality of the stacked seismic data semi-quantitatively with respect to the spacing of shot and receiver lines. The methods used included: signal-to-noise ratio calculation, seismic-to-well tie accuracy, wavelet extraction effectiveness and reliability of semi-automated interpretation of seismic attributes. This study was focused on the Ordovician-Silurian interval of the Lublin Basin, Poland, as it was considered as a main target for the exploration of unconventional hydrocarbon deposits. Our results reconfirm the obvious dependency between the density of the acquisition parameters and data quality. However, we also discovered that the seismic data quality is less affected by the shot line spacing than by comparable receiver line spacing. We attributed this issue to the fact of the higher irregularity of the shot points than receiver points, imposed by the terrain accessibility. We have also proven that the regularity of receiver and shot point distribution is crucial for the reliable interpretation of structural seismic attributes, since these were found to be highly sensitive to the acquisition geometry.
Access status: Restricted ,
Analiza atrybutów sejsmicznych dla modelu ośrodka z rejonu Trzciana – Cierpisz
(Data obrony: 2016-07-05) Pierchała, Anna
Wydział Geologii, Geofizyki i Ochrony Środowiska
Atrybuty sejsmiczne od lat stanowią bardzo pomocne narzędzie do wykrywania obecności węglowodorów. Analizowane w niniejszej pracy złoże Cierpisz, znajdujące się w obrębie mioceńskich utworów zapadliska przedkarpackiego, charakteryzuje się bardzo złożonym, cienkowarstwowym modelem budowy. Obecny w tym złożu gaz ziemny zakumulowany jest w cienkich, piaszczysto-mułowcowych warstewkach uszczelnionych występującymi z nimi naprzemiennie warstewkami ilastymi. Badanie warstw o małej miąższości od lat stanowiło wyzwanie dla geofizyków, jako że wszystkie metody geofizyczne charakteryzują się ograniczoną rozdzielczością. Analizowane złoże Cierpisz związane jest z pewnym przełomem w dziedzinie geofizyki otworowej w zakresie badania cienkich warstw. Niestety, cienkie warstwy stanowią jeszcze większy problem dla metody sejsmicznej, cechującej się o wiele niższą rozdzielczością niż geofizyka otworowa. W pracy obliczone zostaną atrybuty sejsmiczne oraz przeprowadzona będzie inwersja kolorowa i dekompozycja spektralna w celu oceny w jakim stopniu można na ich podstawie wnioskować o obecności węglowodorów. Do wszystkich obliczeń wykorzystano narzędzia dostępne w programie OpendTect.
Access status: Restricted ,
Analiza atrybutów sejsmicznych i interpretacja litofacjalna na obszarze zdjęcia sejsmicznego 3D Lwówek – Brody
(Data obrony: 2012-03-27) Murczyńska, Dorota
Wydział Geologii, Geofizyki i Ochrony Środowiska
The main aim of this thesis is to present the great possibilities of the seismic attributes analysis. The 3D seismic survey is based on the promising hydrocarbon exploration area: Lwówek – Brody. The prospective formations for accumulation of oil and gas are the Main Dolomite and the Zechstein Limestone. The creation of hydrocarbon traps is probably connected with the hylokinesis of the Werra cyclotheme salt.
Access status: Restricted ,
Analiza geologiczno-geofizyczna anomalii sejsmicznych w utworach miocenu w rejonie Rylowej (zapadlisko przedkarpackie)
(Data obrony: 2012-12-21) Drozd, Arkadiusz
Wydział Geologii, Geofizyki i Ochrony Środowiska
The thesis presents the problem of identification of seismic anomalies in the Carpathian Foredeep applying analysis of direct hydrocarbon indicators DHI. The influence of reservoir parameters on P-wave velocity (Vp) and the acoustic impedance was analysed together with the interpretation of well logs which allowed to draw conclusions on the absence of a clear correlation between porosity, shale content and Vp. Interpretation of seismic attributes and recursive inversion showed similarities between the tuning effects and gasification layers and revealed the effect of frequency shadow anomaly. The study also indicated the relationship between tectonics of the Sub-Miocene basement and the gas presence in the area of research.
Access status: Open Access ,
Attribute analysis as a tool for determining the areas of the late diagenetic Main Dolomite deposits and assessing the stability of the seismic signal parameters
(Wydawnictwa AGH, 2022) Smalera, Norbert
The results of the lithofacial analysis of data from the Moracz 3D seismic survey were among the main premises leading to the positioning of the new petroleum exploration well in that area. Unfortunately, the reservoir properties of the drilled part of the Main Dolomite carbonates differed significantly from those anticipated by the analysis of the amplitudes of the seismic signal recorded. Such surprisingly negative results impelled the reinterpretation of 3D seismic data. Hence, a number of analyses of the amplitudes, the frequencies, and the variability of phase shift were carried out in order to determine the influence of these parameters on the lithofacial interpretation of seismic data. The results revealed a fundamental error of amplitude with the extraction maps. It appeared that the distribution of amplitudes is not essentially controlled by the reservoir properties of the Main Dolomite carbonates but by the fault shadow effect coming from Mesozoic graben in the overburden. In addition, a large diversity of frequency spectra was found, which, combined with the small thickness of the exploration level, could have contributed to incorrect identification of seismic reflections. There was also a change in seismic signatures from the same reflection in different parts of the survey, raising doubts about the distribution of the phase rotation. In order to recognize phase rotation diversity, a new seismic data analysis was based upon the selected Triassic sediments of high impedance. The obtained maps demonstrated significant variability within the data volume due to attenuation. The reinterpreted data from the Moracz 3D seismic survey proved the uneven and unstable distribution of amplitudes, frequencies, and phase which resulted in erroneous conclusions of petroleum exploration. After modeling with the use of different frequency ranges, an analysis of the amplitude extraction of the horizons related to the Main Dolomite was performed. Then the amplitude ratio attribute was selected which eliminated the influence of the regional amplitude and frequency distribution and showed the distribution. of dolomite properties more reliably than the amplitude extraction maps.
Access status: Restricted ,
Interpretacja i wizualizacja budowy tektonicznej przy pomocy atrybutów sejsmicznych w rejonie zdjęcia sejsmicznego Gruszów-Smęgorzów 3D
(Data obrony: 2011-10-20) Hyjek, Paulina
Wydział Geologii, Geofizyki i Ochrony Środowiska
The aim of this thesis was shows the tectonic structure of Gruszów- Smęgorzów area, for which was taken the 3D seismic survey. The first part of this thesis was the interpretation of seismic data. The interpretation helped to identify major and minor structural blocks and faults on this area. The important stage was a seismic attribute analysis used as a standard tool for interpretation of seismic data. The second part was a visualization of the structural elements. 3D visualization shows seismic horizons, marked faults, bioherms and present tectonic elements. The project was done in the GeoProbe application, Halliburton Digital & Consulting Solutions – Landmark company.
Access status: Restricted ,
Interpretacja kominów gazowych z obszaru zdjęcia sejsmicznego Trzciana-Cierpisz-Zaczernie 3D
(Data obrony: 2018-01-29) Rogocz, Patryk
Wydział Geologii, Geofizyki i Ochrony Środowiska
Projekt inżynierski polegał na identyfikacji kominów gazowych na zdjęciu sejsmicznym 3D Trzciana-Cierpisz-Zaczernie na podstawie różnych technik interpretacyjnych. Kominy gazowe odznaczają się na obrazie sejsmicznym poprzez pionowe strefy zakłóceń sygnału. Osłabienie amplitud refleksów sejsmicznych lub ich całkowite wygaszenie wiąże się z wpływem migrującego gazu na propagację fali sprężystej w ośrodku. Na podstawie analizy atrybutów sejsmicznych oraz klasyfikacji wykonanej przez sieci neuronowe wytypowano potencjalne miejsca występowania kominów gazowych na obszarze zdjęcia sejsmicznego 3D Trzciana-Cierpisz-Zaczernie. Charakter zapisu sejsmicznego utworów miocenu oraz wpływ nasunięcia karpackiego powodował wyznaczenie przez sieci neuronowe nieprawidłowych lokalizacji kominów gazowych. Główne obszary w których następuje migracja gazu to strefy nad wyniesieniami podłoża miocenu.
Access status: Restricted ,
Statystyczna estymacja atrybutów tras sejsmicznych
(Data obrony: 2011-10-06) Krzeczowski, Kamil
Wydział Geologii, Geofizyki i Ochrony Środowiska
Attributes of seismic traces are basic tools in a seismic data interpretation. A big part of seismic attributes are used in prospecting of hydrocarbon accumulation. The main objective of this thesis is statistical estimation on chosen seismic attributes and next verification of its value in interpretation and in the end evaluation of further application. Statistical analysis of attributes gives an opportunity to find answer for a question: how helpful are statistical elements and can it make the interpretation shorter.
Access status: Open Access ,
The application of volume texture extraction to three-dimensional seismic data - lithofacial structures exploration within the Miocene deposits of the Carpathian Foredeep
(Wydawnictwa AGH, 2020) Łukaszewski, Mariusz
There are numerous conventional fields of natural gas in the Carpathian Foredeep, and there is also evidence to suggest that unconventional gas accumulations may occur in this region. The different seismic signatures of these geological forms, the small scale of amplitude variation, and the large amount of data make the process of geological interpretation extremely time consuming. Moreover, the dispersed nature of information in a large block of seismic data increasingly requires automatic, self-learning cognitive processes. Recent developments with Machine Learning have added new capabilities to seismic interpretation, especially to multi-attribute seismic analysis. Each case requires a proper selection of attributes. In this paper, the Grey Level Co-occurrence Matrix method is presented and its two texture attributes: <i>Energy</i> and <i>Entropy</i>. Haralick's two texture parameters were applied to an advanced interpretation of the interval of Miocene deposits in order to discover the subtle geological features hidden between the seismic traces. As a result, a submarine-slope channel system was delineated leading to the discovery of unknown earlier relationships between gas boreholes and the geological environment. The Miocene deposits filling the Carpathian Foredeep, due to their lithological and facies diversity, provide excellent conditions for testing and implementing Machine Learning techniques. The presented texture attributes are the desired input components for self-learning systems for seismic facies classification.
Access status: Open Access ,
Wykorzystanie atrybutów sejsmicznych w interpretacji badań sejsmicznych o podwyższonej rozdzielczości otrzymanych na złożu siarki w Osieku
(Wydawnictwa AGH, 2005) Lędzka, Joanna; Ślusarczyk, Ryszard
In his paper the evaluation of possibilities for seismic attributes in interpretation of high-resolution seismic section from sulphur mine in Osiek has been undertaken. Exploitation of sulphur deposits by melting with special well-system can destroys surface and water-bearing level. These threats could be reduced by safe exploitation, in which sulphur melting and processes connected with it are under permanent control. The application of periodic seismic profiling helps us define changes in formation resulting from the exploitation. The information is very important both in planning exploitation and in environment protection. Using seismic attributes gives us a better representation of deposits and overburden, and changes subsequent to exploitation too.
Access status: Restricted ,
Zastosowanie metod statystycznych w interpretacji danych sejsmicznych z tematu Rudka 3D
(Data obrony: 2011-09-27) Urban, Klaudia
Wydział Geologii, Geofizyki i Ochrony Środowiska
Area of research works Rudka, is situated in the eastern part of the Carpathian Foredeep over Ryszkowa Wola horst. It has been documented in several holes some of which indicates the presence of gas remaining in his absence or a small amount. Lithofacial analysis of the Miocene songs, performed by using two statistical methods. At the work they referred to interpretation carried out by Geofizyka Kraków in RAVE providing software the Landmark company, and next they made analysis of reservoir parameters using EMERGE providing software the company Hampson- Russell. In the end final similar results were get for the IV deposit horizons. Both have a similar software application, but it appears that a key role in the analysis plays a primarily input and method of analysis.
Access status: Open Access ,
Zastosowanie samoorganizujących sieci neuronowych Kohonena w klasyfikacji sejsmofacjalnej (rejon Ujkowice – Batycze)
(Wydawnictwa AGH, 2006) Dzwinel, Krzysztof; Haber, Anna; Krawiec, Dagmara
This paper presents the application of Kohonen's Self Organizing Networks in classification of seismic waveform. The classification is one of the basic elements of seismofacies analysis and it often leads to significant exploratory conclusions. Important elements of this kind of analysis are: selection of seismic attributes and usage of appropriate clustering method. There were used AVA attributes, which include information about petrophysical properties of rocks. There used two additional multi-dimensional methods to examine seismic facies distribution on selected area: classification of chosen crossplot intercept-gradient area and classification carried out by method which minimizes the product of objects distances in groups. Verification of optimal method for data classification was made based on observation of clusters shape and their characteristic due to insufficient information from wells.