1,720,956 research outputs found
Machine Learning Algorithms-Based Classification of Lithology using Geophysical Logs: ICDP DSeis Project Boreholes, South Africa
No full textA dissertation submitted in fulfilment of the requirements for the degree of Master of Science, to the Faculty of Science, School of Geosciences, University of the Witwatersrand, Johannesburg, 2024.One of the most significant geosciences tasks is the accurate classification of lithologies for metal and mineral resources exploration, characterization of oil/gas reservoir(s), and the planning and management of mining operations. With the availability of abundant, huge and multidimensional datasets, machine learning-based data-driven methods have been widely adopted to assist in solving geoscientific problems such as the efficient evaluation and interpretation of large datasets. The adoption of machine learning-based methods aims to improve lithological identification accuracy and extract information required for accurate and objective decision-making with respect to activities such as exploration, drilling, mine planning and production. Practically, this helps to reduce working time and operating costs. We aim to evaluate the feasibility of machine learning-based algorithms application to geophysical log data for the automated classification of lithologies based on the stratigraphic unit at the formation level for the purpose of distinguishing and correlating the quartzites between boreholes, and mapping key radioactive zones within the mining horizon. This study implemented four different machine learning algorithms: gradient boosting decision trees, random forest, support vector machine, and K-means clustering models. Analyzed features and labelled datasets are multivariate downhole geophysical and lithology logs from the two ICDP DSeis project boreholes drilled in the Klerksdorp gold field, respectively. To mitigate misclassification error and avoid model overfitting/underfitting, the optimal combination sets and optimal values for each implemented supervised model’s hyperparameters were obtained using the Grid search and 10-fold cross-validation optimization methods. The input dataset was randomly split automatedly into training and testing subsets that made up 80% and 20% of the original dataset, respectively. The models were trained and cross-validated using the training subset, and their performances were assessed using the testing subset. The classification performance of each model was evaluated using F1 scores and visualized using confusion matrices. The best supervised classification model for our study area was selected based on the testing subset F1 scores and computational cost of training models. The testing subset results shows that Random Forest and Support Vector Machine classifier models performed much better relative to the Gradient Boosting Decision Trees classifier model, with F1 scores over 0.80 in borehole A and B. In borehole A and B, Random Forest classifier has the least computational training time of about 14- and 6- hours, respectively. The feature importance results demonstrate that the logging feature P-wave velocity (Vp) is the highest predicting feature to the lithology classification in both boreholes. We find that the quartzite classes at different stratigraphic positions in each borehole are similar and they are correlated between the DSeis boreholes. The K-means clustering revealed three clusters in this study area and effectively map the radioactive zones. This study illustrates that geophysical log data and machine learning-based algorithms can improve the task of data analysis in the geosciences with accurate, reproducible and automated prediction of lithologies, correlation and mapping of radioactive zones in gold mine. This study outputs can serve as quality control measures for future similar studies both in the academic and industry. We identified that availability of large data is the major factor to high accuracy performance of machine learning-based algorithms for classification problems.Agate-projectMMM202
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Numerical analysis of finite strain in the warm zand structure
Get PDF>Magister Scientiae - MScThis research project had two different parts: The first was about the mapping of a section of the Warm Zand Structure and the collection of strain data. The second part focused on the analysis of the finite strain and strain pattern in the Warm Zand Structure. The Warm Zand Structure consists of strongly deformed calc-silicates of the Puntsit formation and feldpathic quarzites of the Goede Hoop formation which gradually change into pure quartzites in some locations. The second phase of folding F2 in the calc-silicates gave open folds. Strain markers are very scarce in the Warm Zand Structure; on the Emmanuel Farm pebbles were not found. However on the Compion Farm, pebbles are scattered and occur in few number. In the study area boudins were found in loose rocks hence they could not be used to estimate orientation of the XY plane of the strain ellipsoid (Ramsay, 1967). Folds on the other hand was common and was used to investigate the bulk shortening of the rocks and to understand the kinematical folding mechanisms involved in the folding process of the rock in the Warm Zand Structure. The strain contour map and the Sherwin and Chapple graph were used to investigate the strain and viscosity contrast respectively. The viscosity contrast of the folds collected in the Puntsit falls between 100-53 whereas the bulk shortening on the other hand is between 60-53%. The values of the shortening found agree with those found by van Bever Donker (1980). The numerical modelling on the other demonstrated that in addition to layer parallel shortening and the flattening mention by van Bever Donker (1980) Tangential Longitudinal Strain and Flexural Flow are also involved in the folding process of the fold collected in the Puntsit Formation
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Geomechanical characterization and reservoir Simulation of a carbon storage project in e-m depleted Gas field in South Africa
No full textPhilosophiae Doctor - PhDGeomechanical analysis and integrity assessment of hydrocarbon reservoirs upon depletion
and injection are crucial to ensure that CO2 storage projects can be safely implemented. The
Bredasdorp Basin in South Africa has great potential for CO2 storage, given its hugely available
exploration data. However, there has not been any geomechanical characterization carried
out on this basin to determine its integrity issues. This study aims to investigate the feasibility
of a carbon storage project in the E-M depleted gas field. The preliminary geological
assessment demonstrates that Zone 2 and Zone 3 display acceptable injectivity for CO2
injection of the E-M gas field. Seismic lines display faults that could affect the caprock's
integrity during depletion and carbon storage. Geomechanical characterization provides a
guideline as to how geomechanical analysis of depleted fields can be done for a safe CO2
sequestration practice. The geomechanical model constructed at a depth of 2570 m indicated
that the magnitudes of the principal vertical, minimum, and maximum horizontal stresses in
the field are respectively 57 MPa, 41 MPa, and 42-46 MPa. Fault and fracture stabilities were
examined before and after depletion. It was found that faults and fractures in compartments
C1 and C2 of the reservoir are stable before and after depletion, while normal faults (FNS8
and FNS9) in compartment C3 dipping SW were critically stressed. The minimum sustainable
pressure of the reservoir determined by simulating depletion is 6 MPa. Below that, pressure
depletion causes normal faulting in reservoir compartments C1 and C2. The maximum
sustainable pressure, on the other hand, was found to be 25 MPa. The geomechanical studies
also reveal that it is possible that the reservoir experienced compaction of 8 cm during
depletion and will experience an uplift of 3.2 cm during 71 years of injection. The economic
model of a CO2-enhanced gas recovery project in E-M gas field, the annual expenses (Aexp) of
carbon capture and storage range between Zar20 3.31 × 109 and Zar20 4.10 × 109. The
annual revenues (RA) were estimated to be Zar20 1.42 × 1010. The cash flow analysis derived
from Aexp and RA confirms that enhanced gas recovery could partially offset the cost of CO2
storage if a minimum of 5 % of CO2 fraction is allowed in the natural gas recovered. Geological
and geomechanical studies have demonstrated that carbon storage is physically feasible in
the E-M gas field. However, the project's completion lies in the among the gas recovered to
balance the cost of CO2.
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Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
The tectonic evolution of the Bredasdorp Basin and its implications for oil and gas formation
No full textA dissertation submitted in fulfilment of the requirements for the degree of Master of Science, to the Faculty of Science, School of Geosciences, University of the Witwatersrand, Johannesburg, 2023.The Bredasdorp Basin is an offshore rift basin located in the southernmost tip of Africa, within the larger Outeniqua Basin. Previous studies have indicated the presence of hydrocarbons, as well as structures or evidence that allude to the presence of hydrocarbons, where the basin has not yet been extensively drilled or explored. In this study, seismic attributes applied to high resolution pre-stack time migrated 3D seismic data are analyzed, in conjunction with well logs, specifically the gamma ray logs. By employing these methods, the study aims to delineate the presence of hydrocarbons and their migration, as well as deduce the evolution of the basin based on the structures observed. Using artificial neural network (ANN) to predict the lithologies and analyzing the patterns in the gamma ray logs, the stratigraphic results show that the basin begins with a marine dominated environment from the Valanginian age to Aptian age. From the Aptian to Albian age, there are consistent changes in sea level and sedimentation, caused by thermal sag and uplift. Past the Albian age to present age, the deposition environment is dominated by sandstones and coarse sediments. This is due to the evolving basin moving from a distal to a proximal environment of deposition. Using seismic attributes such as envelope attribute, edge detection and variance attribute, structures such as paleo pockmarks and fluid escape structures are identified. These identified paleo pockmarks have diameters ranging from 400m to 900m. In addition to these structures, erosive features were observed which could be classified as submarine channels or slump structures, with the dominating channel having depths of up to 1585 m. Using variance and ant-tracking, the fault structures observed of the study areas revealed two dominating phases of rifting. The first phase has horsts and grabens bounded by normal faults trending E-W, with implications that the rifting propagated N-S in this phase of rifting. This phase of rifting ends during the Aptian age. The next phase of rifting begins during the Santonian age, with the fault bound horsts and grabens trending N-S, which indicate an E-W rifting direction.National Research Foundation (NRF).Centre of Excellence of Integrated Mineral and Energy Resource Analysis (CIMERA).Wits Seismic Research Centre.Schlumberger PETREL.DUG Insight.PetroSA - Bredasdorp Basin seismic data.MMM202
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