Department of Petroleum and Mining Engineering

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ANALYSIS OF PIPELINE HYDRAULICS OF LPG RETICULATION SYSTEM
(2023-02) TASNIA, FARIA; AHSAN, TAUKIR; SHAHRIAR, KHAN HASAN
While Bangladesh's natural gas output is steadily falling, demand for the fuel is rising in the residential, industrial, and power sectors. The Bangladeshi government has planned to stop supplying home customers with natural gas and replace it with liquefied petroleum gas (LPG), which some private companies will import. As part of the Jolshiri Abason project, 2243 acres of land will be developed for 8795 plots and 96745 flats, with LPG reticulation being installed as part of the housing project to distribute gas. In this study, a transmission and distribution network for liquefied petroleum gas has been planned for 19 sectors, where 96745 apartments and 8795 plots of land will be developed. Gas will be provided in each apartment of six people so that they can cook without any hassle. The total amount of energy needed to prepare a daily dinner in each apartment has been calculated to be 29406 KJ, or 0.6 kg of LPG, and the burner heat rating has been taken into account to be 6 KW so that the meal can be perfectly boiled. The 96745 flats need to be supplied with 580470 KJ/S (KW) of energy during the select time. A total of 41793.84 kg/hr of LPG must be vaporized and transmitted to the gas transmission and distribution network in order to supply this quantity of energy. The network for distributing and transmitting gas has been built to handle 20.00 MMSCFD of gas flow. 200DN, 150DN, 100DN, and 50DN are the pipe sizes that were intended. Pipeline hydraulics of the sector 17A is one of the prime interests of this thesis work. The pressure at the end of a 50DN pipeline in a certain sector, which must be in the range of 5 psi to 10 psi for end users of LPG for effective cooking, has been determined using the general flow equation and Weymouth equation. This specific sector contains 60 plots with a flow of 118632 SCF(V)/D overall where gas is delivered to end consumers via 50DN pipes that are linked to 100DN pipelines, which are linked to 150DN pipelines, which are ultimately linked to the main 200DN pipeline. Pressure is calculated as 5.548 psi and 5.198 psi at the 150 DN pipeline by using Weymouth equation and General flow equation respectively, which is linked to the main 200 DN pipeline from which LPG is delivered from the storage tank, and is 5 psi at the sector's end user. Again, the pressure is evaluated as 10.285 psi (for General flow equation) and 10.1 psi (for Weymouth equation) at the 150 DN pipeline, which is connected to the main 200 DN pipeline from which LPG is coming from the storage tank, for a pressure of 10 psi at the end user of a particular sector.
CHALLENGE AND OPPORTUNITIES OF USING LPG TO MITIGATE THE ENERGY CRISIS IN INDUSTRIAL AREAS OF BANGLADERSH
(2021-03-01) (201734013), RIFAT BIN ANWAR; (201934014), SULTAN ZUBAYER UDDIN; (201934023), MD MARUF AHMED
CHARACTERIZATION OF SALDANADI GAS RESERVOIR BY WELL LOG INTERPRETATION
(2023-03) JAHAN, ISRAT; ISLAM, TAHIDUL
In this study, we have compared several petrophysical parameters such as facies, porosity, and shale volume for the various zones of the Saldanadi Gas Field (SGF), Bangladesh, using 2D seismic and logging data. The SGF is a part of the greater Rukhia structure. It is located in Kasba Thana of the Brahmanbaria district in Bangladesh, adjacent to the border with Tripura, India, and about 50 kilometers southeast of Brahmanbaria town. We have used seismic and logging data as input, along with a combination of Petrel Software (2009.1.1) algorithms, to simulate the potential zones of this field. Also, log data is used to correlate Gas Sand Zones among the four wells which are drilled yet, those are: Saldanadi (SD)-1, SD-2, SD-3, and SD 4. The goal of this study is to determine the possible gas sand zones of the Saldanadi gas reservoir for each individual well based on the input data. Gamma-ray logs have been used to determine the lithology for each well. Based on the SD-1 facies model four possible gas sand zones have been determined and they are namely New Gas Sand-2 (NGS-2), New Gas Sand-1 (NGS-1), Upper Gas Sand (UGS), and Lower Gas Sand (LGS) respectively from the top. For the wells SD-1, SD-2, SD-3, and SD-4, the Measured Depth (MD) of NGS-2 is 1866–1913 m, 1940–2010 m, 964 –1014 m, and 2154–2272 m, respectively. For the SD-1, SD-2, SD-3, and SD-4 wells, the depth of NGS-1 is 1999m–2012m, 2225m–2260m, 1052m–1230m, and 2402m–2423m, respectively. The UGS depths for the SD-1, SD-2, SD-3, and SD-4 wells are 2206–2259 m, 2323–2330m, 1388–1410 m, and 2618–2633m, respectively. For the SD-1, SD 2, SD-3, and SD-4 wells, the LGS depths are respectively 2304m to 2369m, 2417m–2439m, 2184m–2224m, and 2673m–2710m. In SD-01, the porosity has been found 16.61% for NGS 2, 18.81% for NGS-1, 16.11% for UGS, and 13.83% for LGS. In SD-2, the porosity is 12.73%, 13.24%, 9.61% and 10.65% for NGS-2, NGS-1, UGS and LGS. In SD-3, the porosity for NGS 1, UGS and LGS are 13.5%, 9.5% and 9% respectively. On the other hand, the shale volume is found 18.5%, 0.27%, 2.28%, and 0.72% for NGS-2, NGS-1, UGS, and LGS zones respectively in SD-1. The shale determined for SD-2 are 0.27%, 10.61% and 19.42% respectively for NGS-1,UGS and LGS. The SD-3 has a the shale volume of 0.44%, 16.03% 3 and 21.7% for NGS-1, UGS and LGS respectively.The NGS-1 has a shale volume of 7.26%, UGS 6.596% and LGS 1.2% in SD-4.
Comparison of Machine Learning Models for Predicting Particle Size Parameters from Drilling Data
(2023-03) TAJRIAN, MD.AUMIO; BHUIYAN, MD ASHFAK HOSSAIN
Drilling efficiency is the capacity of a drilling operation to extract natural resources from subterranean reservoirs with maximum effectiveness. Drilling efficiency is crucial to the success of extraction operations, as it influences every aspect of the cost of the operation to the quantity and quality of the extracted natural resources. The effectiveness of a drilling operation is greatly affected by several factors, one of which is the particle size of the material being drilled. Drilling engineers must pay close attention to particle size characteristics, which characterize the size, shape, and density of the cuttings produced during drilling. Efficiency in drilling significantly impactsthe drilling process, which in turn affects the extraction technique. Since drilling is a complicated process used to recover precious natural resources, ineffective drilling will add additional expense and time to the project. The influence of particle size variables in drilling can be evaluated using machine learning by analyzing large datasets of drilling parameters and particle properties. In this study, machine learning algorithms are used to examine the relationship between particle size parameters and drilling performance, yielding insights into the optimal particle size parameters for a wide range of formations and drilling scenarios. To determine the characteristics of drilling and particle size most closely connected, three distinct machine learning techniques are used in this investigation. Among these methods, Random Forest shows the strongest correlation between these traits. This approach is used to anticipate particle size parameters for absent data points within the typical range for drilling parameters. The study can be used to evaluate the drilling performance and efficiency. A similar strategy can be implemented in formations with identical geological factors using the most applicable machine learning model.
DESIGINING OF LPG RETICULATION SYSTEM FOR JOLSHIRI RESIDENTIAL PROJECT
(2024-03) MUBASSHIR, IHSAN; SRIJAN, TANVIR AHAMED
While home, industrial, and power sectors in Bangladesh are seeing a rise in natural gas demand, natural gas output is progressively decreasing. In Bangladesh, the energy regulatory body has made the decision to stop supplying natural gas to the domestic market and instead purchase liquefied petroleum gas (LPG) from a few private enterprises. To supply gas for cocking and other domestic uses, a large housing project established an LPG reticulation system for the building and apartments. The Jolshiri Abason project would have 20 sectors, each with an estimated 2243 acres of land where 8795 plots and 96745 apartments will be built. A controlled, regulated, and secure network for the transmission and distribution of liquefied petroleum gas has been built in this research for three sectors, including the development of 1210 and the construction of 13310 apartments. Each apartment will have gas provided, mostly for the purpose of cooking for six people. Bangladeshi dishes including rice, curry, vegetables, and other meals have been considered to be prepared in each apartment. To cook daily meals in each apartment, the total energy required is estimated to be 29,406 KJ, equivalent to 0.6 kg of LPG, and the heating power of the burner is considered to be 6 KW so that the meal can be boiled completely. At the time of selection, the amount of electricity to be supplied is 79,860 KJ/S (KW) for 13,310 apartments. To supply this amount of energy through the gas transmission and distribution network, 6,249.91 kg/h of LPG must be vaporized and transmitted to the gas transmission and distribution network. 2.60 MMSCFD gas is required for three sectors. In total, about 18.90 MMSCFD of gas is required for the entire Jolshiri field project, spread over an area of about 2,243 acres divided into 20 zones comprising 8,795 plots and 96,745 apartments. Gas is intended to be transported via the gas transmission and distribution network at a rate of 20.00 MMSCFD. The line pipe sizes that are intended are 200DN, 150DN, 100DN, and 50DN. 40 is the chosen line pipe schedule in accordance with ASTM A53 of grade B. The line pipe's estimated design pressure is 1474.74 psi.
DEVELOPMENT OF TEST PROCEDURE OF DIFFERENT TYPES OF LUBE OIL AND FUEL OIL
(2024-03) FABIHA, MARYUM; HOSSAIN, MOHSHINA
Lubricating oil is a thick fatty oil, commonly known as engine oil, used to make the parts of a machine move smoothly. It creates a separating film between surfaces of adjacent moving parts to minimize direct contact between them, decreasing heat caused by friction and reducing wear. CIMAC is an organization that provides guidelines on the lubrication of medium-speed engines. It is essential to maintain the controlled oil by eliminating the potential contamination from the fuel impurities. This study uses the lubricating oil testing method, the ASTM method, to evaluate the quality, performance, and characteristics of different lube oils and fuel oils used in various industrial applications. The proper use of lubricating oil also helps in matching oil change intervals, minimizing maintenance needs, and ensuring optimal engine performance under extreme conditions by maintaining viscosity. Ten test services lubricating test has been carried out.
DISCONTINUITY EFFECT ON STOPE DIMENSION
(DEPARTMENT OF PETROLEUM & MINING ENGINEERING, 2023-03-01) ( 201934009), SHORONIKA HASAN; ( 201934021), RAJIBUL ISLAM
EFFECTS OF KCl ON BASAL SPACING OF CLAY: A MOLECULAR DYNAMICS SIMULATION APPROACH
(2024-03) ASHRAF, SADIK BIN; JANNAT SHARIN, TASKIA
Shale formation plays a significant role for the discovery of hydrocarbon resources, especially in unconventional oil and gas reservoirs for its larger volume of reserves. However, the presence of shale can create numerous challenges due to its complex behavior in terms of drilling with WBDF. Shale has a low permeability. To increase the permeability, the hydraulic fracturing technique is used. When the water-based drilling fluid come in contact with the shale formation, the ion exchange is responsible for the swelling of the clay mineral. Smectite group member (Montmorillonite) can exhibit this type of behaviors. Increase of interlayer space causes the shale to swell significantly. This is caused due to the adsorption of water on the surface of clay layers. This study's objectives are to select a potential inhabiting agent to reduce the swelling of clay by using the molecular dynamic simulation and to measure the interlayer spacing between the layers. All simulations are done in this study using the BIOVIA MATERIAL STUDIO 2020. Molecular dynamic simulation provides insights into the atomic-scale processes involved in clay swelling. At first, the Na-MMT model has been created by giving their specific parameters and then the adsorption simulation was done by the Monte Carlo simulation. Where in a 2% Potassium Chloride (KCl) solution, 1 KCl molecule replaces 68 water molecules. Thus, the ratio of KCl and water molecule was 1:210. Using the lowest energy geometry optimized model dynamics simulation was performed. If the number of water molecules are increased, the basal spacing is also increased. Thus, the hydrational forces also increases in the same way. As the amount of KCl adsorption increases the amount of water adsorption decreases. After adding the selective inhibitor (KCl), the basal spacing has been decreased than before and increases the swelling reduction ratio as well. This study reviews the swelling problem of MMT, its proper inhibiting agent to reduce the swelling of the shale in the petroleum industry and the changes of the interlayer spaces between the shale formations by using the molecular dynamic simulation.
GAS CHIMNEY DELINEATION AND PROSPECT IDENTIFICATION FROM SEISMIC DATA USING ARTIFICIAL NEURAL NETWORKS IN AN AREA OF NORTH SEA, NETHERLANDS
(2024-03) ISLAM, MD. ASIFUL; ISMAIL, WARAKA BIN
In this thesis, the study on the gas chimney delineation and prospect identification using Artificial Neural Networks is described. The study was mainly concerned with the identification of prospects by the use of Artificial Neural Networks as well as the proposal of well locations. To interpret and analyze seismic and well data, version 6.2.0 of the OpendTect software was used. The available data of the F3 block extends from the Zechstein unit of the Paleozoic era to the Upper North Sea unit of the Cenozoic era. In the interpreted horizons, three different horizons have been chosen for the identification of hydrocarbon presence. Three differently derived outputs have been generated for the interpretation, which is attribute attribute-derived, amplitude-derived, and spectral decomposition output. Chimney cube have been generated by the use of Artificial Neural Networks whereas the amplitude derived result was calculated by RMS amplitude and similarity. Lastly, the RGBA blending was used to calculate and generate the spectral decomposition result. Finally, all the outputs were evaluated and proposed three different vertical wells to drill at the site.
INTEGRATED RESERVOIR MODELING OF SALDA NADI GAS FIELD
(2023-02) ALOM, ASHRAFUL; HASAN, NAZMUL
The Integrated Reservoir Modeling of Shaldanadi Gas Field using Petrel software is a study aimed at improving the understanding of the reservoir characteristics and behavior of the Shaldanadi Gas Field. The modeling was carried out using Petrel, a powerful and widely used software in the oil and gas industry. The study utilized various techniques such as geophysical analysis, stratigraphic modeling, structural modeling, poperty modeling, well engineering of the reservoir. The working strategy includes geological works, engineering knowledge (well engineering, petrophysical analysis), fluid properties etc. By this integrated reservoir simulation static model, velocity model, porosity modeling, permeability modeling etc. The reservoir is devided into numbers of grid cell and each cell shows the gradual changing in porosity, permeability and other petrophysical properties. The gas-water contacts of each zone are also shown. After all, the findings of the study provide important insights into the reservoir behavior and could be used to support future decision making and operational activities in the Shaldanadi Gas Field.
LABORATORY EXPERIMENT DESIGN FOR BACKFILLING IN BARAPUKURIA COAL MINE
(2024-03) TAJIB – UL – ISLAM, MD.; EMON, NEAZ MAHMUD
Backfilling, an essential process in mining and construction subsequent to foundation and utility work, involves filling excavated areas around structures with sand or gravel to ensure stability, support, and insulation. It ranges from simple to complex, often requiring specialized equipment. This procedure not only minimizes the need for costly dilution and surface storage but also aids in mitigating mining instability and subsidence. Our exploration delved into various facets of backfilling, particularly focusing on how finite element method analysis can elucidate its intricacies. Through examining cases designed with different ratios of outlet and inlet diameters and employing varied velocities to flow backfill materials through the model, we gained insights into the process. ANSYS, a finite element analysis (FEA) tool, played a pivotal role in characterizing the qualities of backfill. Consequently, these analyses yielded comprehensive simulations of backfill material flow patterns and pressure distributions. The laboratory experiment's backfilling design model was effectively simulated utilizing finite element simulation methodology. Notably, the k-epsilon constants of Cmu emerged as the predominant influential factor within the simulation process. Within the laboratory setting, the designed experimental box featured dimensions of 20 cm in width and 40 cm in height. To optimize functionality, it is imperative to set the pump's flow velocity capacity at 1 m/s, incorporating a safety factor of 2, resulting in a pressure transducer reading of 6700 Pascal. Moreover, for the efficient distribution of flow, the ideal ratio of the outlet to the inlet pipe diameter in the experimental setup should be maintained at 0.33.
PREDICTION OF POROSITY AND PERMEABILITY FOR RESERVOIR CHARACTERIZATION USING MACHINE LEARNING
(2024-03) RAFI, IZTINAB R; SHAHADAT, MD. ARAFIN
Reservoir characterization is the process of determining the petrophysical properties of the subsurface, including porosity, permeability, relative permeability, water saturation, fluid saturation, capillary pressure, shale volume and sand volume. These petrophysical properties of the subsurface can be determined using experimental, simulation and machine learning method. Reservoir characterization using experimental method provides accurate results but it is costly and time consuming. The accuracy of reservoir characterization using simulation method depends on the amount of data. Moreover, the use of initial conditions and assumptions before the simulation might lead to uncertainty. The use of complex algorithms, mathematical models and modeling techniques in the Petrel software makes simulations computationally intensive and time consuming. So, to make reservoir characterization accurate and cost-effective machine learning is applied to save both cost and time. Three machine learning algorithms Linear Regression (LR), Support Vector Regression (SVR) and Artificial Neural Network (ANN) have been used to predict porosity and permeability for reservoir characterization. LR and ANN have performed better in the prediction of porosity and SVR and ANN have performed better in the prediction of permeability. In both the prediction of porosity and permeability, ANN has provided the most accurate results.
RESERVE ESTIMATION OF A GAS FIELD USING MATERIAL BALANCE METHOD
(DEPARTMENT OF PETROLEUM & MINING ENGINEERING, 2023-02-01) (201834007), MD MOTIUR RAHMAN PARVEZ; (201934001), TANVIR HOSSAIN PRANGON
SEQUENCE STRATIGRAPHIC INTERPRETATION AND RESERVOIR CHARACTERIZATION OF F3 BLOCK, OFFSHORE, NORTH SEA, THE NETHERLANDS
(DEPARTMENT OF PETROLEUM & MINING ENGINEERING, 2023-03-01) (201934020), ABDULLA AL MAMUN MUNNA; (201934012), HRITIKA AGARWALA
STUDY ON THE EFFICIENCY OF GEOTHERMAL HEAT EXCHANGERS IN ABANDONED OIL AND GAS WELLBORES: A SIMULATION APPROACH
(2024-03) HAQUE, SHAFAYAT UL; RAHMAN, TANZEELUR
The world requires more and more energy every day. While traditional sources of energy are near exhaustion, renewables like geothermal energy provide immense promise. Geothermal energy is the heat generated deep within the earth's core and can be extracted from the crust with abandoned oil and gas wellbores. Water is sent down the wellbore, where it absorbs heat and travels back to the surface, which is later turned to steam to produce power. Geothermal energy extraction leaves a lot to be desired. The efficiency of the current systems isn’t desirable. Of the two available technologies, CLGS (Closed-Loop Geothermal System) and OLGS (Open-Loop Geothermal System), CLGS provides an opportunity to retrofit oil and gas wells, which makes them feasible in terms of cost and accessibility. The studies that have been conducted so far indicate that water is the better heat transfer fluid overall. To enhance the efficiency of the CLGS, an understanding of the entire wellbore system must be gained. A simulation approach provides a detailed analysis of all the sections of the geothermal system. The results reveal significant heat losses from the hot fluid after reaching the surface. Installation of insulation improves performance drastically. Changing the materials shows further performance improvements. But different materials have different drawbacks. Insulation thickness also plays a significant role in heat retention and changes the flow properties. Studying all of the parameters will result in an efficient geothermal system that can be utilized in abandoned wellbores to provide more energy to the world.
WELLBORE STABILITY IN SHALE
(2023-03) HOQUE, MOHAMMAD MAINUL; RAFID-E-ELAHI
With the use of the Kirsch equation, 2D Finite Element (RS2), and 3D Finite Element (RS3) calculations, this study examines the wellbore stability in shale formations. Shale formations are notorious for being complicated and diverse, which makes it difficult to drill them and keep them stable. In order to examine wellbore stability, the Kirsch equation, a mathematical model that determines the stress distribution around a circular hole in an elastic material, is utilized. The outcomes are contrasted with those of 2D and 3D finite element analyses, which are frequently employed in the field of rock engineering to assess the stability of subsurface structures. The comparison demonstrates that, while the Kirsch equation can offer a helpful approximation of the stress distribution in the shale formation, it is limited in its ability to handle complex geological situations. By taking into account the impacts of material nonlinearity, joint systems, and anisotropy, finite element analysis gives a more precise and thorough examination of wellbore stability. In addition to emphasizing the need for a thorough understanding of rock mass behavior, the study underscores the significance of employing finite element analysis to analyze the wellbore stability in shale formations.