Geothermal Resources Recognition and Characterization on the Basis of Well Logging and Petrophysical Laboratory Data, Polish Case Studies

Jarzyna, J.; Baudzis, Stanisław; Janowski, Mirosław; Puskarczyk, Edyta

doi:10.3390/en14040850

Cited by 6 publications

(6 citation statements)

References 13 publications

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“…In comparison, measurements recorded in continuous well logging were influenced by environmental conditions and the vertical resolution of logging devices. Creative combining these two types of results requires depth matching of laboratory measurements and vertical averaging of well logging outcomes, and this was used to construct mutual relationships resulting in detailed petrophysical characteristics (Figure 1) [1,2,7].…”

Section: Resultsmentioning

confidence: 99%

“…The Silurian and Ordovician shale formations in the north-eastern and central-eastern Poland are observed along the margin of the East European Platform. The analysis was focused on two formations in the Baltic Basin: Ordovician Sasino Formation (Sa Fm) and Jantar Member (Ja Mb) of the Silurian Pasłęk Formation as potential resources of unconventional hydrocarbons [1,4,5]. The discussed formations are composed of black, dark gray, and graygreenish bituminous shales.…”

Section: Geological Settingmentioning

confidence: 99%

“…They are under detailed investigations in many countries all over the world and intensity of the research works depends on economy state in the hydrocarbon prospecting industry and politics, which nowadays is mostly oriented to renewable energy resources. Poland, with relatively low resources of hydrocarbon, is extremely interested in detailed recognition of the Paleozoic shales with gas observed from the primary drillings in the Baltic, Podlasie and Lublin Basins as potential shale gas resources [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

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Untitled

2020

AMMS

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Results of laboratory experiments and well logging processing and interpretation are described to show the investigation trial realized on the Polish Silurian and Ordovician shale gas deposits in the Baltic Basin, north Poland. Standard and sophisticated laboratory methods of density, porosity, permeability, mineral composition and geochemical parameters measurements on rock samples were performed. Statistical methods were applied to standard, dipole sonic and geochemical well logs to limit the processed data without loss of useful petrophysical information, avoiding redundancy and doing the primary classification. The goal of this specific trial was to build petrophysical model of shale gas rocks taking into account low porosity, very low permeability, TOC equal at least 2 wt.% and organic matter as a kerogen and bitumen, free gas gathered in the rock matrix effective porosity and in secondary porosity. The unique model for the Polish shale gas formations is explained by age, depth of occurrence and mineral composition of the Silurian and Ordovician shales, different from those described in the literature.

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Section: Resultsmentioning

confidence: 99%

Section: Geological Settingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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2020

AMMS

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“…Research and detailed analyses were carried out for a selected area with five wells at one of the largest hydrocarbon reservoirs in the Main Dolomite in the Fore-Sudetic Monocline (Figure 1) in Poland [24]. The Barnówko-Mostno-Buszewo (BMB) reservoir, from which the data are derived, was discovered in the early 1990s [25,26].…”

Section: Methodsmentioning

confidence: 99%

Electrofacies as a Tool for the Prediction of True Resistivity Using Advanced Statistical Methods—Case Study

Baudzis¹,

Karłowska-Pik

Puskarczyk

2021

Energies

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Statistical analysis methods have been widely used in all industries. In well logs analyses, they have been used from the very beginning to predict petrophysical parameters such as permeability and porosity or to generate synthetic curves such as density or sonic logs. Initially, logs were generated as simple functions of other measurements. Then, as a result of the popularisation of algorithms such as the k-nearest neighbours (k-NN) or artificial neural networks (ANN), logs were created based on other logs. In this study, various industry and general scientific programmes were used for statistical data analysis, treating the well logs data as individual data sets, obtaining very convergent results. The methods developed for processing well logs data, such as Multi-Resolution Graph-Based Clustering (MRGBC), as well as algorithms commonly used in statistical analysis such as Kohonen self-organising maps (SOM), k-NN, and ANN were applied. The use of the aforementioned statis-tical methods allows for the electrofacies determination and prediction of an Rt log based on the other recorded well logs. Correct determination of Rt in resistivity measurements made with the Dual Laterolog tool in the conditions of the Groningen effect is often problematic. The applied calculation methods allow for the correct estimation of Rt in the tested well.

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“…The lithology, the depth distribution of fractures, and the fundamental physical parameters (temperature, pressure, gamma, neutron, resistivity, etc.) can all be found through the logging process of a well [41,42]. Well-logging interpretation requires specialized software for digitizing and visualizing well data [43,44].…”

Section:  Well-log Datamentioning

confidence: 99%

Petrophysical Analysis Based on Well Logging Data for Tight Carbonate Reservoir: The SADI Formation Case in Halfaya Oil Field

Jassam,

AL-Fatlawi,

Canbaz

2023

IJCPE

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Carbonate reservoirs are an essential source of hydrocarbons worldwide, and their petrophysical properties play a crucial role in hydrocarbon production. Carbonate reservoirs' most critical petrophysical properties are porosity, permeability, and water saturation. A tight reservoir refers to a reservoir with low porosity and permeability, which means it is difficult for fluids to move from one side to another. This study's primary goal is to evaluate reservoir properties and lithological identification of the SADI Formation in the Halfaya oil field. It is considered one of Iraq's most significant oilfields, 35 km south of Amarah. The Sadi formation consists of four units: A, B1, B2, and B3. Sadi A was excluded as it was not filled with hydrocarbons. The structural and petrophysical models were built based on data gathered from five oil wells. The data from the available well logs, including RHOB, NPHI, SONIC, Gamma-ray, Caliper, and resistivity logs, was used to calculate the petrophysical properties. These logs were analyzed and corrected for environmental factors using IP V3.5 software. where the average formation water resistivity (Rw = 0.04), average mud filtrate resistivity (Rmf = 0.06), and Archie's parameters (m = 2, n = 1.9, and a = 1) were determined. The well-log data values calculated the porosity, permeability, water saturation, and net-to-gross thickness ratio (N/G).

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Geothermal Resources Recognition and Characterization on the Basis of Well Logging and Petrophysical Laboratory Data, Polish Case Studies

Cited by 6 publications

References 13 publications

Untitled

Untitled

Electrofacies as a Tool for the Prediction of True Resistivity Using Advanced Statistical Methods—Case Study

Petrophysical Analysis Based on Well Logging Data for Tight Carbonate Reservoir: The SADI Formation Case in Halfaya Oil Field

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