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Research and Development Petroleum Conference and Exhibition 2018
- Conference date: May 9-10, 2018
- Location: Abu Dhabi, United Arab Emirates
- Published: 09 May 2018
1 - 20 of 65 results
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Imaging micro-scale multiphase flow in 3D-printed porous micromodels
Authors Hongxia Li, Aikifa Raza and TieJun ZhangSummaryIn this work, we utilize an additive micro-fabrication 3D printing approach to fabricate physical micromodels (microfluidic devices) of porous reservoir rock based on their micro-CT images. The unique feature of micro-3D printing enables rapid prototyping to mimic complicated heterogeneous micro/nano-structures of rock core plugs. Moreover, surface wettability of the fabricated micromodels can be controlled by changing the combination of printing polymers. Owing to the optical transparency of micromodels, transient liquid propagation processes are captured by using a high-speed laser confocal microscopy. Three fluid pairs (oil-gas, water-gas, water-oil) are used for micromodel flooding experiments. Our results show liquid propagates differently under various surface wettability conditions. This work offers a novel methodology to study micro-scale subsurface porous flow by taking advantage of state-of-the-art micro-3D printed porous micromodel. Our new physical insights contribute to enhanced oil/gas recovery and geothermal energy production as well as geological carbon sequestration.
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Selection of CO2-soluble surfactants for CO2 foam/emulsion in hot and salty carbonate reservoirs
Authors Leyu Cui and Maurice BourrelSummaryCO2 enhanced oil recovery (EOR) attracts more and more interests because of its high microscopic recovery efficiency. However, CO2 often early breaks through and segregates from oil zone due to the low viscosity and density in the field application. Therefore, foam/emulsion is proposed for controlling the mobility of CO2. Surfactants are common chemicals for stabilizing the foam/emulsion, and have been widely used in the fields. Among them, CO2-soluble surfactants are more competent, because the surfactants could be transferred in CO2 phase and generate the stable foam/emulsion wherever CO2 flows. However, the efficiency of the surfactants is often profoundly suppressed by high temperature and high salinity in carbonate reservoirs, which are common conditions in Abu Dhabi.
We present here the criteria and methods for selecting the surfactants regarding the CO2 foam/emulsion. And, various surfactants are evaluated and compared in laboratory scale. Novel alkyl-amine surfactants outperform the surfactants in literature, and can rapidly generate strong CO2 foam/emulsion at high temperature and high salinity. The results show that the novel alkyl-amine surfactants are promising for CO2 foam/emulsion assisted EOR in hot and salty carbonate reservoir.
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Characterization of Reservoir Fluids: A Predictive Model for Interfacial and Bulk Phase Equilibrium Properties
Authors Luís M. C. Pereira, Lourdes F. Vega, Antonin Chapoy and Bahman TohidiSummaryIn this contribution, a robust theoretical approach was applied to predict the interfacial and phase equilibrium properties of real reservoir fluids. The modeling approach was based on an improved version of the Peng-Robinson equation of state (EoS) and on the Density Gradient Theory (DGT) for fluid interfaces. All the EoS and DGT parameters were obtained from literature correlations or calculated through a group-contribution method, leading to the computation of all the fluid properties in a fully predictive manner. The good agreement with volumetric, phase composition and interfacial tension data of multiple contact tests confirmed the superior predictive capabilities of the present modeling approach for describing key PVT properties of reservoir fluids.
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A laboratory approach to evaluate the efficiency of low salinity brine injection for enhancing oil recovery at high temperature in carbonate reservoirs
Authors N. Blin, J. Montes Ruiz and R. Rodriguez PardoSummaryDuring the last two decades, low salinity water injection has been studied for enhanced oil recovery in sandstone and carbonate reservoirs. Several theories about low salinity mechanisms have being proposed including wettability alteration ( Buckley and Morrow, 2010 ).
This paper presents flooding experiments that study the impact of different salinity brines on the wettability in a carbonate reservoir. The coreflood experiments were performed at high temperature, 120°C, at which few references can be found. Our results reveal that synthetic seawater is more favorable than formation water to increase oil recovery in both, secondary and tertiary recovery modes at high temperature in carbonate rocks. Moreover, in secondary mode the recovered oil is produced faster with synthetic seawater.
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A new Thermally Stable Synthetic Polymer For Harsh Conditions Of Middle East Reservoirs
SummaryMost of Middle East fields presents harsh reservoir conditions (high temperature, high salinity, low permeability carbonates) for polymers used as mobility control agents in EOR. Traditional synthetic polymers such as partially hydrolyzed polyacrylamide (HPAM) are not thermally stable. At temperatures higher than 60°C, acrylamide moieties hydrolyze rapidly in sodium acrylate which ultimately leads to precipitation and a total loss of viscosifying power. Thermal stability can be improved by incorporating more expensive monomers such as ATBS or NVP.
In a previous paper (Tulsa, 2014), we reported the development of terpolymers where the incorporation of NVP brought robustness up to 120°C. However, the use of NVP increased the cost of the polymer and limited its molecular weight. NVP also caused compositional drifts impairing injectivity in low permeability carbonate rocks. The price of the final product was 3 times higher than conventional HPAM polymers and 2 to 2.5 higher than SPAM polymers. In a more recent paper (ADIPEC, 2017), we reported the synthesis of NVP-free polymers having different contents of ATBS. These polymers presented had a lower cost than the NVP polymers and allowed a dosage reduction of 50% to get the same viscosity. They outperformed the NVP polymers in terms of injectivity and thermal stability pushing further the envelope of stability of EOR polymers up to 130°C and 140°C in brines having a TDS of 230 g/L and 100 g/L respectively.
In this study, we present new data of viscosity and thermal stability of the NVP-free polymers optimized in terms of process and molecular weight. In particular, the thermal stability study was completed with NMR spectroscopy and Size Exclusion Chromatography (SEC) analysis to bring information on the evolution of the chemistry and of the molecular weight distribution of the polymers under aging. Results showed that the optimization of these polymers allowed an additional dosage reduction of 30% compared to NVP polymers. NMR and SEC analysis revealed that the reduction of the viscosity during aging was due to an evolution of the chemistry by the formation of sodium acrylate but also to chain scission. ATBS appeared to slow-down hydrolysis and limit viscosity loss. No modification of the chemistry was observed for the polymer having the highest level of ATBS. Its viscosity loss was directly correlated to a decrease of its molecular weight.
The optimization of the NVP-free polymers allowed reducing their dosage by one third making them very attractive from an economic perspective. NMR and SEC have proven to be an efficient tool to better understand the evolution of the viscosity of the polymer solutions submitted to aging.
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Depth imaging using Innovative Algorithm for High-Resolution Seismic
Authors Yasir Bashir, Deva Prasad Ghosh, Chow Weng Sum and Mohamed MahgoubSummaryThe use of high resolution imaging is important and quickly gaining momentum in oil and gas industry as the need of the industry moves toward exploiting smaller hydrocarbon traps in complex structure. The principal goal of seismic imaging is to get a subsurface image and structural features with greatest sharpness or resolution. This super resolution seismic data is a great input to the interpreters for instant identification of small scale events, to locate the pinch-out positions of the formation and edges of the subsurface irregularities, such as fractured reservoirs and salt bodies. With the advent of time, these diffracted waves are recognized as physically reliable carriers of high resolution structural imaging. In this paper, we have proposed an algorithm which is based on low-rank symbol approximation modelling for generating a dispersion free data for diffraction and full-wave imaging. The experiment of the modeling is performed on the Marmousi (Fractured model), the modeling results by the proposed low-rank modelling is very clearer than with the conventional finite difference method. We shows the difference in imaging results using conventional migration and proposed diffraction migration, which demonstrate how this can be leveraged to assess characteristic of subsurface feature and enhanced the amplitude of the data.
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A fractured reservoir in the light of seismic wave attenuation attribute
SummaryIn this paper, we investigate a fractured reservoir zone in an oilfield located in the Emirate of Abu Dhabi, United Arab Emirates, by using seismic wave attenuation attribute.
The dense geometry of a 3D VSP walkaway spiral survey carried out in the oilfield, permits to perform a high resolution (15° spacing) azimuthal estimation of the attenuation at different offsets. By assuming the azimuth of the minimum attenuation as the strike direction of fractures, we obtain this direction in the three reservoir units, R1, R2 and R3 at several offsets. The comparison between the estimated directions and those based on core data interpretation is quite satisfactory. This is a good indication about the potential of seismic wave attenuation attribute for fracture characterization.
Our results show that the effect of fractures on seismic wave attenuation is frequency dependent. By modifying the frequency range, the dominant orientation of fractures changes. This is related to scattering and intrinsic attenuation mechanisms that are strongly dependent on frequency. More investigation on this dependence can be useful to provide information about fracture sizes and their fluid content. This a great advantage of attenuation attribute, compared to the classical seismic attributes, such as curvature and ant tracking, which are widely used to extract fracture orientations from seismic data.
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METIS, a disruptive R&D Project to Revolutionize Land Seismic Acquisition
Authors Pierre-Olivier Lys, the METIS Team, Keith Elder and John ArcherSummaryWhat if we could unlock exploration acreage in hard-to-access onshore areas thanks to drones, airships and biodegradable seismic sensors? What if we could image and monitor reservoirs with high definition, high quality 3D seismic, with hundreds of thousands of sensors deployed in a few weeks only? What if we could get a real-time image of the subsurface, while still acquiring the seismic data in the field? The first pilot of the METIS1 system successfully acquired in Papua-New-Guinea late 2017 paves the way for this science-fiction scenario to actually become a reality.
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Deblended-data reconstruction using generalized blending and deblending models
Authors Tomohide Ishiyama and Mohammed Y. AliSummaryWe introduce a generalized concept of blending and deblending, establish its models, and accordingly establish a method of deblended-data reconstruction using these models. The generalized models can handle real-life situations by including random encoding into the generalized operators both in the space and time domain, and both at the source and receiver side. We consider an iterative optimization scheme using a closed-loop approach with the generalized-blending and -deblending models, in which the former works for the forward modelling and the latter for the inverse modelling in the closed loop. We established and applied this method to existing real datasets offshore Abu Dhabi. The results show that our method succeeded to fully reconstruct deblended data even from the fully generalized, thus quite complicated blended data.
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A journey to excellence for HySWEET®: from laboratory to industrial proved applications
Authors Jing Zhao, Renaud Cadours, Stefano Langé and Claire WeissSummaryRemoving mercaptans from sour natural gas is becoming an important issue with the global trend towards more stringent specifications for commercial gases. Amines have been extensively used on account of their ability to meet severe H2S and CO2 specifications and high acid gas selectivity over hydrocarbons. Amines however have limited mercaptans removal capability, an additional treatment step is generally required to achieve stringent specification on total sulfur in the treated gas.
For more than 10 years, TOTAL works on the natural gas sweetening process for high sulfur comprising gas. Targeting to unlock the potential value for such a kind of difficult-to-treat gases in a profitable and energy efficient way, TOTAL successfully developed a new series of hybrid solvents technologies, HySWEET® In 2018, a significant milestone will be achieved after the first HySWEET® process implementation in ADNOC Gas Processing’s Habshan 32/33 units. This paper will present the HySWEET® challenging development pathway and the benefices that can be achieved in both green field and brown field gas processing projects.
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Foaming of Industrial Lean Methyldietanolamine Solvents and its Reclamation using Bio-Polymer Adsorbents
Authors Fawzi Banat, Anjali Achazhiyath Edathil, Priyabrata Pal and Shittu IsmailaSummaryFoaming is one of the major operating problems in natural gas sweetening alkanolamine plants. The lean methyldiethanolamine (MDEA) samples collected at different times from GASCO (Habshan, Abu Dhabi) sites were analyzed analytically and laboratory foaming studies were carried out to understand the root cause of foaming. Finally, the work aimed to investigate the effect of foam reduction after removal of contaminants such as total organic acid anions and heavy metal ions (chromium and iron) from lean MDEA solutions using bio-polymeric adsorbents. The adsorbents were characterized using SEM and FTIR analysis. In both batch and column studies bio-polymeric adsorbent outperform currently used carbon used by GASCO. The foaming studies after removal of contaminants justified the use of new adsorbents in reclaiming lean MDEA solutions in the plant.
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Accurate Viscosity Predictions of Carbonated Aqueous MEA Solutions for CO2 capture processes
Authors Luís M. C. Pereira, Lourdes F. Vega and Felix LlovellSummaryIn this contribution, a theoretical sound approach was used to predict the viscosity of CO2-loaded aqueous monoethanolamine (MEA) solutions at conditions of relevance for CO2 capture from post-combustion streams. The approach was based on the soft-SAFT equation of state (EoS) coupled with the Free-Volume Theory (FVT) for the integrated modelling of the absorption of CO2 and viscosity. Results showed that the developed model is capable of predicting the impact of CO2 loadings on the viscosity of aqueous MEA solutions with low deviations to experimental data over a broad range of temperatures and amine concentrations.
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Heat Stable Salt (HSS) removal from Lean Amine solution using Concentric Electromagnetic Separator
Authors Jerina Hisham Zain, Jimoh H. Oladunni and Fawzi BanatSummaryA novel electromagnetic separator (EMS) is designed and developed for removal of heat stable salts (HSS) from industrial lean amine solution used in gas sweetening units. The designed setup is concentric with an outer tubular pipe serving as anode and an inner rod serving as a cathode when connected to an external power supply. The direction of electric field will be radial and perpendicular to the flow path along the channel to enhance the separation of ions at the outlet. The setup has been tested under normal operating conditions. The concentration of HSS was analyzed for each experiment at a fixed voltage and flow rate at different operating time. Various operational parameters, like voltage, flow rate and magnetic field strength are studied to examine the efficiency of the designed system. It was found that the separation efficiency increased on increasing the operational voltage up to 3V, and by decreasing the flow rate and introducing magnetic field on to the system. The developed setup demonstrated potential in removal of HSS from lean amine solutions.
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Three dimensional nanostructured catalyst aerogels for enhanced hydrodesufurization
Authors Sunil P. Lonkar, Vishnu V. Pillai and Saeed M. AlhassanSummaryWith ever increasing demand for cleaner fuels and stringent specifications applied on acceptable sulfur limits in petroleum fuels are becoming challenging task for the refineries. Therefore, the development of active, stable and low cost catalyst systems for efficient hydrodesulfurization (HDS) is highly requisite. In present work, a facile and scalable preparation method for nanostructured 3D assembly of 2D molybdenum sulfide and graphene porous aerogels as HDS catalyst was reported. These nanohybrid catalysts were in-situ synthesized from sulfur containing Mo (ammonium tertrathiomolybdate), graphite oxide under one step hydrothermal conditions. Further, thermal treatment at moderate conditions produces a highly interconnected macroporous network of thermally reduced GO having finely dispersed few-layered 2D MoS2 nanosheets impregnated with promoter (P) nanoparticles was observed. The resulting nanohybrids were deeply investigated by means of several techniques. These 3D assemblies exhibits enhanced catalytic performance in the hydrodesulphurization (HDS) of dibenzothiphene (DBT) with sustained recyclability in compared previously reported HDS catalysts. The presented synthesis method can be applied into the large scale production of metal sulfide/oxide co-doped 2D MoS2/graphene aerogel catalysts for wide range of oil and gas industry applications.
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UAVs Low-altitude Visual Tracking of Unburied Pipeline by the Designed Variant PID Controller and Position Controller
Authors Huang Xiaoqian, Amit Shukla, Hamad Karki and Zhang XiaoxiongAbstractThis paper presents a control mechanism based on the actual distance between the Unmanned Aerial Vehicles (UAV) and the tracking structure for UAV visual tracking of pipeline on the ground in a low altitude. The technique includes two parts: structure identification and navigation control. The unburied pipeline is considered as a simple line in 2D image, then the Canny Edge Detector (CED) and Probabilistic Hough Transformation (PHT) are used in image processing to detect edges, identify the pipeline and extract useful parameters (angle and distance in image). For autonomous tracking, the response time, flight stability and tracing accuracy are influenced by the navigation and control performance severely. Thus in this paper the position controller is designed which can calculate the actual distance between the UAV body frame and the detected structure, and the UAV position is regulated by the variant PID controller until the UAV is flying exactly over the pipeline on ground.
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External and Internal Corrosion Detection Sensors for Oil and Gas Pipelines Using Fiber Optics
More LessSummaryOil flowlines are two to twelve inches in diameter pipelines, most susceptible to corrosion and very difficult to inspect. Since the flowlines are connected to the well head and closest to the wells, they are exposed to the highest pressures and temperatures thus most susceptible to corrosion. Since flowlines are small in diameter, most of them do not have launcher and retrieval stations thus almost impossible to inspect them using In-line Inspection (ILI) smart PIGS. Due to inability to inspect the flowlines, accidents occur with flowlines every month. A corrosion monitoring system is thus absolutely necessary to prevent accidents from happening with flowlines.
The aim of this research project is to introduce new or improved methods for monitoring and detecting corrosion of onshore exposed flowlines by developing fiber optics based external and internal corrosion detection sensors. It is hoped that the same external corrosion detection sensor can be also used to detect oil leakage.
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Chemical and Microbially-induced Corrosion in Petroleum Pipelines
SummaryThe oil and gas industry has a severe problem with chemical corrosion, and microbial contamination of pipelines and infrastructure. The main source of the chemical corrosion is the water that used in digging the crude oil from the ground. It is estimated that the water content in the extracted oil can reach up to 30% in the pipeline. Whilst insufficiently dried oil and gas pipelines have significant general corrosion problems, the industry also has a large need for water pipelines, for example fire/ deluge systems and water injection lines for Enhanced Oil Recovery (EOR). If bacteria are not controlled in these aqueous environments, the consequences for corrosion of the infrastructure is severe and multi parametered. Microbial-initiated corrosion (MIC) is initiated and/or accelerated by the activities of microorganisms, which produce biofilms For example fire water systems are required to be of the “wet riser” style, where the system is full of stagnant water. It is often a challenge to get sufficient biocide around the system to prevent corrosive microbial colonies forming. Most of the corrosion failures of fire systems are due to the microbial corrosion. Similarly water injection lines suffer from corrosion. The usual treatment method is to remove the oxygen to prevent oxygen related corrosion of the steel, but this provides a perfect environment for anaerobes, especially SRBs, which have lead to the souring (production of hydrogen sulfide) of reservoirs. The current approaches to sterilization of lines, such as bleach or oxidizers are incompatible with the aim of reducing corrosion, and many biocides are now prohibited.
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Inspection of Vertical Structures in Oil and Gas Industry: A Review of Current Scenario and Future Trends
Authors Vidya Sudevan, Amit Shukla and Hamad KarkiSummaryRegular inspection of an oil and gas installations is vital for production, maintenance, safety and environmental impact assessment. Integrating technologies from the field of robotics, sensing and process control will be a decisive step on digitalization of oil and gas industry. Drone technology, artificial intelligence, wearable technologies etc. are some of the emerging digital topics that can help the oil and gas companies to reduce the operation costs, improve the efficiency by making quick decisions and increasing workforce productivity. Inspection, maintenance and repair (IMR) operations are always considered as a serious task in oil and gas industries due to its complex set-up and hazardous operation environment.
The conventional methods for performing inspections of storage tanks, cooling tower, chimneys, flare stacks, boiler etc., are performed by using scaffolds, rope access inspection and helicopter. The challenges faced by conventional techniques are the construction of scaffolding, sending inspector into dangerous and fatal environments, shutdown of plant operations etc. that has financial burden on operating cost.
The drone technology provides a possible solution for these challenges by increasing the efficiency, reducing the risks and lowering the cost of IMR tasks. Currently, a certified pilot and an inspection engineer are required to conduct Unmanned Aerial Vehicle (UAV) based inspection tasks. The research focus in this field is to automate the UAV flight and being able to extend the inspection capabilities. Autonomous navigation and inspection method of vertical structures using an UAV can be used for both onshore and offshore oil and gas industries without interrupting the plant operation and exposing the work personnel to risky environment. This paper presents the state of art of current scenario and future trends of vertical structure inspection in oil and gas industry.
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Inorganic scale control during ASP flooding, coreflood to field implementation — a case study
By M. JordanAbstractInorganic scale associated with conventional hydrocarbon extraction has been well studied over the past 50 years and the mechanisms of formation, inhibition and removal are now well understood within the industry. For enhanced oil recovery (EOR) significant changes occur within the reservoir as a result of injected chemical or changes in fluid type that are used to increase the oil recovery.
In the case of alkali surfactant polymer (ASP) flooding, the current industry understanding of scale prediction models for such systems is discussed, along with the current inhibitor screening tests to qualify scale inhibitors for squeeze application in a Middle East field. The design of the different squeeze treatments applications for treatment of formation water and injection water production are presented.
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Development of a Predictive Molecular Model for Abu Dhabi Crude Oils Phase Behavior
SummaryA new approach based on the statistical associating fluid theory (SAFT) is presented here to model eight light crudes, with the SARA analysis as the only input for the model. Within the characterization procedure of Punnapala and Vargas (2013), the aromaticity parameter and the asphaltene molecular weight were fixed to all crude oil samples, while the asphaltene aromaticity is the only fitted parameter of the model. A correlation for this parameter with the flashed gas molecular weight allows full predictions of the phase behavior without the need of any asphaltene onset data. The predictive molecular model was used to study asphaltene instability as a function of injected CO2 and natural gas concentration. The model can also accurately reproduce routine PVT experiments such as constant composition expansion, differential vaporization and multi-stage separation tests performed on the crude oils, thereby providing a unified framework for phase behavior studies.
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