Conference Presentations by Olugbenga Olamigoke
Gas compressibility factor is an essential requirement for the determination of several natural g... more Gas compressibility factor is an essential requirement for the determination of several natural gas properties. Formation volume factor, density, compressibility and viscosity all require accurate knowledge of the gas compressibility factor. Limited availability of experimental data makes it necessary to employ correlations to calculate the gas compressibility factor. This study evaluates the usefulness of Artificial Neural Networks (ANN) as an alternative to published correlations in predicting gas compressibility factor. The ANN model correlates gas compressibility factor as a function of reservoir temperature and dew point pressure. This method is of particular importance in generating gas compressibility data for natural gas reservoirs where no samples have been taken. ANN was applied to the 40 raw data sets in the range of 105-226 o F and 2445-4843 psia for temperature, and pressure, respectively. The ANN network was constructed using MATLAB. To develop the ANN model, the samples were divided into three groups. One set contained 24 samples which was used to train the network, one set of 8 samples was used for validation while and the remaining 8 samples were used as the test sets. The performance analysis of ANN showed that the mean square error (MSE) was 4.0769E-6 while the R 2 value for test data was equal to 0.99607. The model was tested in the range of 107-117 o F and 2495-2725 psia for temperature, and pressure, respectively. Gas compressibility factors obtained from the Standing and Katz chart gave a MSE of 4.14E-05 while the ANN gave a MSE of 3.02243E-05 as compared to the experimental data. The results showed that ANN is an effective and powerful tool in estimating gas compressibility factor.
Papers by Olugbenga Olamigoke
Steam-assisted gravity drainage (SAGD) is characterized by the development and expansion of a ste... more Steam-assisted gravity drainage (SAGD) is characterized by the development and expansion of a steam chamber. It is generally assumed that all points within a steam chamber are at same temperature as the injected saturated steam. Hence, the view that the injected steam releases the full latent heat corresponding to its injection temperature. Leveraging on relationship between steam latent heat and temperature, as well as that between saturation temperature and pressure, this paper interrogates the general view that a constant amount of latent heat is released at all points within a steam chamber. We formulate and simulate a new mathematical model that reveals why and how the net specific latent heat released varies across a steam chamber. For completeness, a similar analysis is extended to examine the spatial variations of sensible and total heats in a SAGD. From parametric tests performed, spatial variations of the effective latent, sensible and total heats in a SAGD are quantified....
All Days, 2006
Direct viscosity measurements are often expensive or unavailable. Therefore, empirical correlatio... more Direct viscosity measurements are often expensive or unavailable. Therefore, empirical correlations are often used for predicting the viscosity of crude oils. However, several published correlations are either too simplistic or too complex for routine operational use. Many of the common correlations in use were developed using data from other regions of the world. Empirical correlations for predicting the viscosity of light crude oils in the Niger Delta have been presented in this paper. Data from over 400 oil reservoirs from the Niger Delta were collected. The samples were representative of the two crude oil viscosity regimes: above and below the bubble point. After normalquality checks, non-linear multiple regression with linear partial correlation coefficient techniques were used to establish simple correlations between viscosity, pressure, temperature, oil specific gravity and solution gas oil ratio. Statistical error analysis of the developed correlation showed average absolute...
SPE Nigeria Annual International Conference and Exhibition, 2014
The Casing Design Application developed by well engineers in Havilah Hydrocarbon Resources Manage... more The Casing Design Application developed by well engineers in Havilah Hydrocarbon Resources Management (HHRM) is designed with simplicity to avoid the complicated casing design software in the market and provide an in-house tool for quick evaluation of casing scheme options. The development of this MS Excel Based software is motivated by a need to offer a package that accurately predicts relevant well loads, without compromising designs and making it too conservative and expensive or under-conservative and unsafe. The HHRM Casing Design Application considers all the anticipated loadings on the casing string at the time when the casing is run and throughout the life of the well. The design criteria is such that meet the conflicting requirements of collapse and burst, while ensuring the tensile loading strength of the casing are never exceeded. This application also provides triaxial stress analysis to provide high confidence as regards the ultimate casing scheme to be adopted. This ca...
Drilling Engineering and Technology - Recent Advances, New Perspectives and Applications [Working Title]
The devastating impact of the Macondo blowout incident has underscored the need for effective wel... more The devastating impact of the Macondo blowout incident has underscored the need for effective well barriers, early kick detection systems, and increased automation of well-control operations toward successful drilling and completion operations particularly in deep offshore environments. Early kick detection systems should be capable of detecting a gas influx both during drilling and tripping operations regardless of the drilling fluid system with minimal false-negative alarms, while automated control systems regain well-control eliminating delays or omissions due to human error. In this chapter, developments in the deployment of early kick detection and automated control systems in conventional and managed pressure drilling operations are reviewed. We discuss the use and placement of surface sensors such as the Coriolis flowmeter, smart flowback fingerprinting when the rig pumps are off, real-time gas monitoring along the marine riser and downhole measurements complimented with mach...
International Journal of Frontiers in Engineering and Technology Research, 2022
Bottomhole flowing pressure (BHFP) is a critical parameter in analyzing oil and gas well performa... more Bottomhole flowing pressure (BHFP) is a critical parameter in analyzing oil and gas well performance, production forecasting and reservoir management. This study is focused on obtaining feature combinations towards low-error prediction of time-series BHFP in two wells in the Volve field. Three machine learning (ML) models (support vector regression (SVR), a distance-based model; random forest (RF), a tree-based ensemble model and Long Short-Term Memory (LSTM), a type of recurrent neural network) are used for BHFP prediction in two wells of the Volve field. The data for each well was split such that the first 70% is used in training the model, the next 15% as validation data for selecting the optimal hyperparameters and the last 15% for testing the models. The train and validation sets were used to train the models before making predictions on the test sets. While the SVR and RF models reasonably predicted the BHFP in both wells with a maximum Mean Absolute Percentage Error (MAPE) of...
One of the major problems associated with history matching is the non-uniqueness of the solutions... more One of the major problems associated with history matching is the non-uniqueness of the solutions. A major flaw in this traditional history matching is that it lacks robustness as it shows a bias to the production data being matched while neglecting the mechanics governing other production data and such solutions generated are erroneous and gives a poor representation of the reservoir being matched.In this study, data driven and numerical modeling of a synthetic PUNQS3 reservoir were carried out. Single objective function, aggregated and multi-objective functions were adopted for the reservoir history matching. A proxy model was developed with data generated from a reservoir simulator using Artificial Neural Network (ANN) and the Response Surface Methodology (RSM). Firefly Optimization (FFO), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms were used for the history matching process.The results showed that the history matching process was strongly influenced b...
Day 1 Tue, August 11, 2020, 2020
The correlation between the produced water cut and average water saturation around the perforatio... more The correlation between the produced water cut and average water saturation around the perforation obtained from Cased-Hole Saturation Tool (CHST) measurements is evaluated in this paper. The motivation for this study is to enable significant financial savings which would accrue by the need for less CHST logging runs for effective Reservoir Fluids Management provided average water saturation can be quantified in terms of produced water cut, the water perforation coverage and the wellbore completion string parameters such as perforation thickness, and deviation angle. Average water saturation and perforation water coverage, was determined by analyzing CHST logs block by block obtained using CHST tools in two different petroleum provinces (Nigeria Joint Venture Area and North Sea Basin). For each well logged, well test data or Production Logging Tool data, wellbore deviation survey and the completion schematic were obtained. The datasets from each region were split in two categories –...
Natural Gas Industry B, 2015
The gas compressibility factor, also known as Z-factor, plays the determinative role for obtainin... more The gas compressibility factor, also known as Z-factor, plays the determinative role for obtaining thermodynamic properties of gas reservoir. Typically, empirical correlations have been applied to determine this important property. However, weak performance and some limitations of these correlations have persuaded the researchers to use intelligent models instead. In this work, prediction of Z-factor is aimed using different popular intelligent models in order to find the accurate one. The developed intelligent models are including Artificial Neural Network (ANN), Fuzzy Interface System (FIS) and Adaptive Neuro-Fuzzy System (ANFIS). Also optimization of equation of state (EOS) by Genetic Algorithm (GA) is done as well. The validity of developed intelligent models was tested using 1038 series of published data points in literature. It was observed that the accuracy of intelligent predicting models for Z-factor is significantly better than conventional empirical models. Also, results showed the improvement of optimized EOS predictions when coupled with GA optimization. Moreover, of the three intelligent models, ANN model outperforms other models considering all data and 263 field data points of an Iranian offshore gas condensate with R 2 of 0.9999, while the R 2 for best empirical correlation was about 0.8334.
Nigeria Annual International Conference and Exhibition, 2006
The capture and storage of carbon dioxide (CCS) produced during the combustion of fossil fuels no... more The capture and storage of carbon dioxide (CCS) produced during the combustion of fossil fuels now offers one option for attaining large scale reductions in the emissions of greenhouse gases and thus, promote a clean environment. It is now becoming clear that CCS technologies could promote the use or consumption of fossil fuels than otherwise previously thought. This paper presents an overview of the techniques involved in the capture and sequestration of carbon dioxide (CO2). The opportunities and the challenges of the application of CCS in Nigeria are considered. It is concluded that the development of gas utilization schemes and power plants makes it imperative for Nigeria to give attention to CCS technologies. Introduction Fossil fuels will continue to meet a significant share of world primary energy demand for many years to come, and their consumption is increasing(1,2). It has therefore become important to introduce efficient technical solutions to make their use less damaging...
FUOYE JOURNAL of ENGINEERING and TECHNOLOGY, 2022
Hydrocarbon production accompanied by the flow of sand from reservoirs is unavoidable as many of ... more Hydrocarbon production accompanied by the flow of sand from reservoirs is unavoidable as many of the formations are poorly consolidated. The deposition of the produced sand at low velocities or production of sand at very high velocity can pose serious challenges to the condition of the petroleum pipeline as it can lead to pipeline capacity reduction and degradation respectively. It is therefore important to investigate the minimum transport velocity that prevents sand deposition in the pipelines. In this study, the firefly optimization algorithm (FFA) was used in the development of the improved model for the prediction of minimum transport condition (MTC) in a multiphase pipeline. The model development was implemented using the MATLAB software package. The input parameters were sand concentration, particle diameter, viscosity, density and superficial velocity of the hydrocarbons. The developed model was observed to perform better than the base model with a R2 value of 0.9845 and 0.8...
The correlation between the produced water cut and average water saturation around the perforatio... more The correlation between the produced water cut and average water saturation around the perforation obtained from Cased-Hole Saturation Tool (CHST) measurements is evaluated in this paper. The motivation for this study is to enable significant financial savings which would accrue by the need for less CHST logging runs for effective Reservoir Fluids Management provided average water saturation can be quantified in terms of produced water cut, the water perforation coverage and the wellbore completion string parameters such as perforation thickness, and deviation angle. Average water saturation and perforation water coverage, was determined by analyzing CHST logs block by block obtained using CHST tools in two different petroleum provinces (Nigeria Joint Venture Area and North Sea Basin). For each well logged, well test data or Production Logging Tool data, wellbore deviation survey and the completion schematic were obtained. The datasets from each region were split in two categories –...
The technical, environmental and economic performances of a steam flood are partly influenced by ... more The technical, environmental and economic performances of a steam flood are partly influenced by the operating temperature (pressure). However, the definition and procedure for determining the optimum operating temperature are still debatable. Employing a combination of analytic modelling and numerical simulations, this paper investigates the existence (or otherwise) of an optimum injection temperature T opt for saturated-steam floods. Considering the maximization of productivity and thermal efficiency as objective, an analytic procedure, which explores the effects of temperature on injectivity, total steam enthalpy, oil viscosity and relative permeabilities, shows that the operating temperature (pressure) of a steam flood should not exceed 515Â K (3.5Â MPa). A simple closed-form expression is proposed for T opt as a function of basic rock and fluid properties. For an example three-dimensional reservoir model comprising an 8-m oil shale unit sandwiched between two sandy units each 15Â ...
Simple correlations have been developed for evaluating the primary recovery factor for thin oil r... more Simple correlations have been developed for evaluating the primary recovery factor for thin oil rims with large gas caps prior to detailed reservoir simulation. The correlations are based on oil recovery factor estimates obtained from three dimensional, three-phase black oil reservoir simulation models for saturated reservoirs with overlying gas caps at their initial state, which capture spatial effects and the dynamics of oil rim and gas cap production. Dominant factors (oil rim thickness, horizontal permeability, gas cap size, oil viscosity, gas cap offtake, aquifer strength and reservoir dip) that affect oil rim and gas cap production were obtained using foldover Plackett-Burman screening designs. Response Surface Models (correlations) were then developed using BoxBehnken experimental design to obtain oil recovery estimates under conventional development and concurrent development at gas cap production up to 15% of the free gas initially in Place per annum. The oil recovery facto...
In this study, the effect of two food waste materials, egg shell, and snail shell as local enviro... more In this study, the effect of two food waste materials, egg shell, and snail shell as local environmentally-friendly additives, on the pH and mud weight of water based mud was evaluated. The water based mud samples were formulated using bentonite, barite, distilled water with egg shell and snail shell in varying weight proportions. Mud weight and pH measurements were taken at 25C. The results showed that egg shell and snail shell increased the pH value by 8.4% and 29.9% respectively due to the addition of 30g of each additive. The pH value was however increased by 54.9% when 15g of each additive in equal amounts was added to the mud. Correspondingly, the mud weight was increased by 12.6% and 8.4% due to the addition of 30g of egg shell and snail shell respectively. The mud weight was however increased by 28.9% when 15g of each additive in equal amounts was added to the mud. It was concluded that the combination of a snail shell and egg shell has a high potential for pH enhancement wi...
Journal of Petroleum Exploration and Production Technology
As an improvement over existing screening techniques, we introduce the relative mobile energy of ... more As an improvement over existing screening techniques, we introduce the relative mobile energy of primary gas-cap to the aquifer (Egw) as a new parameter for characterizing the performance of oil-rim reservoirs. Egw integrates key static and dynamic reservoir properties. To account for the time value of production, the framework allows maximizing the discounted recovery factor (DRF) of oil, gas or total hydrocarbon as the objective function. Employing detailed simulations of different well-defined oil-rim models, DRFs of oil, gas and total hydrocarbons have been correlated against Egw for common development concepts and well types. These correlations have resulted in a new screening technique for both green and brown oil-rim reservoirs. In addition to presenting simple generic charts for quick evaluation of oil-rim reservoirs, the main contributions of this work include the introduction of Egw as a new performance-characterizing parameter, and the flexibility to consider the DRF of a...
Journal of Petroleum Exploration and Production Technology
Producing an oilfield in a cost-effective way depends on how long water production could be delay... more Producing an oilfield in a cost-effective way depends on how long water production could be delayed in the reservoir. Many flow mechanisms, correlations, and methods to calculate maximum water-free oil production rate have been published, However, those methods have generally failed to not consider the skin effect which affects the flow into the wellbore. In this paper, the semi-analytical perforation skin model as presented by Karakas and Tariq is incorporated into the Meyer and Garder correlation for critical oil rate from a perforated vertical well interval to obtain the maximum water-free oil production rate and optimal perforation parameters. The resulting coupled computational model is used to determine the sensitivity of the maximum water-free oil production rate to wellbore perforation parameters. Whilst an increase in perforation length and decrease in spacing between perforation increase the critical flow rate, an increase in perforation radius did not translate to higher ...
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Conference Presentations by Olugbenga Olamigoke
Papers by Olugbenga Olamigoke