PVT and Pressure Analysis in Third pay Reservoir of Zubair Oilfield Southern Iraq

Author(s):  
Karrar K. Abdulwahhab ◽  
Mohammed S. Al-Jawad

In this paper the pressure drop and PVT data that used in the model to describe the behavior ofreservoir fluids of 3rd pay reservoir of Zubair field is explained. The wells in Hammar-Shuaiba area showhigh Gas Oil Ratio, exceeding 1,000 scf/stb. This is bad sign and that mean reservoir pressure is reducedramatically and gas will produced , finally the energy that use to push the oil from reservoir to thesurface will decrease. Eleven samples have been collected and analyzed from all 3rd pay reservoirs overthe years, seven samples in Hammar –Shuaiba area. The PVT data resulted to be scattered, being notpossible to define any acceptable conclusion about their trend versus depths, taking also into account thatthey are not referred to the same temperature. The main difference between the old and new PVT is theBubble Point pressure at reservoir conditions, which increases from 2646 psi to 2760 psi. Historicalpressure behavior shows that water Injection is beneficial to maintain stable pressure trend. Pressureanalysis shows a strong depletion start from 2013 in various zones of Hammar Shuaiba domes.

2021 ◽  
Author(s):  
Genjiu Wang ◽  
Dandan Hu ◽  
Qianyao Li

Abstract It is generally believed that Cretaceous bioclastic limestone in Mesopotamia basin in central and southern Iraq is a typical porous reservoir with weak fracture development. Therefore, previous studies on the fracture of this kind of reservoir are rare. As a common seepage channel in carbonate rock, fracture has an important influence on single well productivity and waterflooding development of carbonate reservoir. Based on seismic, core and production data, this study analyzes the development characteristics of fractures from various aspects, and discusses the influence of fractures on water injection development of reservoirs. Through special processing of seismic data, it is found that there are a lot of micro fractures in Cretaceous bioclastic limestone reservoir. Most of these micro fractures are filled fractures without conductivity under the original reservoir conditions. However, with the further development of the reservoir, the reservoir pressure, oil-water movement, water injection and other conditions have changed, resulting in the original reservoir conditions of micro fractures with conductivity. The water cut of many production wells in the high part of reservoir rises sharply. In order to describe the three-dimensional spatial distribution of fractures, the core data is used to verify the seismic fracture distribution data volume. After the verification effect is satisfied, the three-dimensional fracture data volume is transformed into the geological model to establish the permeability field including fracture characteristics. The results of numerical simulation show that water mainly flows into the reservoir through high angle micro fractures. Fractures are identified by seismic and fracture model is established to effectively recognize the influence of micro fractures on water injection development in reservoir development process, which provides important guidance for oilfield development of Cretaceous bioclastic limestone reservoir in the central and southern Iraq fields.


2021 ◽  
Author(s):  
Thitaree Lertliangchai ◽  
Birol Dindoruk ◽  
Ligang Lu ◽  
Xi Yang

Abstract Dew point pressure (DPP) is a key variable that may be needed to predict the condensate to gas ratio behavior of a reservoir along with some production/completion related issues and calibrate/constrain the EOS models for integrated modeling. However, DPP is a challenging property in terms of its predictability. Recognizing the complexities, we present a state-of-the-art method for DPP prediction using advanced machine learning (ML) techniques. We compare the outcomes of our methodology with that of published empirical correlation-based approaches on two datasets with small sizes and different inputs. Our ML method noticeably outperforms the correlation-based predictors while also showing its flexibility and robustness even with small training datasets provided various classes of fluids are represented within the datasets. We have collected the condensate PVT data from public domain resources and GeoMark RFDBASE containing dew point pressure (the target variable), and the compositional data (mole percentage of each component), temperature, molecular weight (MW), MW and specific gravity (SG) of heptane plus as input variables. Using domain knowledge, before embarking the study, we have extensively checked the measurement quality and the outcomes using statistical techniques. We then apply advanced ML techniques to train predictive models with cross-validation to avoid overfitting the models to the small datasets. We compare our models against the best published DDP predictors with empirical correlation-based techniques. For fair comparisons, the correlation-based predictors are also trained using the underlying datasets. In order to improve the outcomes and using the generalized input data, pseudo-critical properties and artificial proxy features are also employed.


Author(s):  
Hai Zhang ◽  
Qun Zheng ◽  
Mustapha Chaker ◽  
Cyrus Meher-Homji

The air pressure drop over the nozzles manifolds of inlet fogging system and the flow resistance downstream of the nozzle array (manifold) have always been an area of concern and is the object of this paper. Fogging nozzles arrays (involving several hundred nozzles) are mounted on channels and beams, downstream of the inlet filters and affect the pressure drop. The water injection angle, nozzle injection velocities and the progressive evaporation of the water droplets evaporation all influence the inlet pressure seen at the gas turbine inlet. This paper focuses on a numerical simulation investigation of flow resistance (pressure drop) of inlet fogging systems. In this research effort, the inlet duct is meshed in order to compute the pressure drop over the nozzles frames in fogging and non-fogging conditions. First, the resistance coefficients of an air intake filter are obtained by numerical and experimental methods, and then the coefficients are used for the simulation of the inlet duct by considering the filter as a porous media. Effects of nozzle spread pattern and water injection pattern are then modeled. The results indicate that injection velocity and arrangement of nozzles could have significant effects on the pressure drop and intake distortion, which will affect compressor performance. This paper provides a comprehensive analysis of the pressure drop and evaporation of inlet fogging and will be of value to gas turbine inlet fogging system designers and users.


2019 ◽  
pp. 81-85
Author(s):  
Damir K. Sagitov

The study of the causes of changes in the effectiveness of the reservoir pressure maintenance system in terms of the interaction of injection and production wells is an important and insufficiently studied problem, especially in terms of the causes of the attenuation of stable connections between the interacting wells. Based on the results of the calculation of the Spearman pair correlation coefficient, the reasons for the change in the interaction of wells during the flooding process at various stages were estimated. Of particular interest are identified four characteristic interactions, which are determined by the periods of formation of the displacement front.


2020 ◽  
Vol 10 (2) ◽  
pp. 17-35
Author(s):  
Hamzah Amer Abdulameer ◽  
Dr. Sameera Hamd-Allah

As the reservoir conditions are in continuous changing during its life, well production rateand its performance will change and it needs to re-model according to the current situationsand to keep the production rate as high as possible.Well productivity is affected by changing in reservoir pressure, water cut, tubing size andwellhead pressure. For electrical submersible pump (ESP), it will also affected by numberof stages and operating frequency.In general, the production rate increases when reservoir pressure increases and/or water cutdecreases. Also the flow rate increase when tubing size increases and/or wellhead pressuredecreases. For ESP well, production rate increases when number of stages is increasedand/or pump frequency is increased.In this study, a nodal analysis software was used to design one well with natural flow andother with ESP. Reservoir, fluid and well information are taken from actual data of Mishrifformation-Nasriya oil field/ NS-5 well. Well design steps and data required in the modelwill be displayed and the optimization sensitivity keys will be applied on the model todetermine the effect of each individual parameter or when it combined with another one.


Author(s):  
Antonio C. Bannwart ◽  
Oscar M. H. Rodriguez ◽  
Jorge L. Biazussi ◽  
Fabio N. Martins ◽  
Marcelo F. Selli ◽  
...  

The use of the core-annular flow pattern, where a thin fluid surrounds a very viscous one, has been suggested as an attractive artificial-lift method for heavy oils in the current Brazilian ultra-deepwater production scenario. This paper reports the pressure drop measurements and the core-annular flow observed in a 2 7/8-inch and 300 meter deep pilot-scale well conveying a mixture of heavy crude oil (2000 mPa.s and 950 kg/m3 at 35 C) and water at several combinations of the individual flow rates. The two-phase pressure drop data are compared with those of single-phase oil flow to assess the gains due to water injection. Another issue is the handling of the core-annular flow once it has been established. High-frequency pressure-gradient signals were collected and a treatment based on the Gabor transform together with neural networks is proposed as a promising solution for monitoring and control. The preliminary results are encouraging. The pilot-scale tests, including long-term experiments, were conducted in order to investigate the applicability of using water to transport heavy oils in actual wells. It represents an important step towards the full scale application of the proposed artificial-lift technology. The registered improvements in terms of oil production rate and pressure drop reductions are remarkable.


2000 ◽  
Vol 3 (01) ◽  
pp. 35-41 ◽  
Author(s):  
M.I. Kuhlman ◽  
H.C. Lau ◽  
A.H. Falls

Summary Laboratory results demonstrate that surfactant adsorption on sandstones is minimized and foam performance improved by reducing the ethoxylate chain length in alcohol ethoxy sulfonates and blending unethoxylated and ethoxylated sulfonates to optimize desirable properties. The results also show that laboratory adsorption measurements can only be extrapolated to reservoirs by (1) replicating the anaerobic conditions of reservoirs, and (2) differentiating authogenic minerals from drilling mud found in reservoir cores. Introduction If a foam is to be designed to provide mobility control throughout reservoirs with a thousand meters between wells, the properties of that foam and the surfactants used to create the foam must differ substantially from foams and surfactants used to reduce mobility in near-wellbore applications. First, it is absolutely necessary to maintain very low surfactant adsorption and limited mobility control in order to use foam in the reservoir, yet the foam must survive when the capillary pressure is high. Surfactants with very high critical micelle concentrations (CMC) used below their CMC appear to satisfy these criteria.1 Surfactants used below their CMC have low adsorption and limited mobility control because solid/fluid and fluid/fluid interfaces are not completely filled with surfactant molecules. Then, surfactant adsorption is so low that low concentrations of surfactant can propagate faster than high concentrations.1–3 Yet foam stability and mobility control are sufficient to limit gravity override of gas.1 Second, oil is likely to spread4 around carbon dioxide-rich gas bubbles when they are some distance from an injector because light hydrocarbons have not yet been stripped from the oil. This can mean that another type of foam, gas/oil, is possible.5 Finally, surfactant must somehow propagate where water is not mobile. A good example of this is at the top of an oil reservoir where water saturation is low, water mobility is low, and surfactant does not propagate far in the water. Some evidence suggests5 that the portion of a surfactant which dissolves in the oil does propagate where water is immobile and can stabilize gas/oil lamellae. This gas/oil foam observed in microvisual experiments at reservoir conditions is known to reduce gas mobility when water is absent,5 and shown with simulations to be the likely cause of mobility control in some laboratory experiments.5 This paper describes optimization of surfactant structure and composition as well as the laboratory controls to properly test surfactant performance. The desirable properties of these surfactants are (a) rapid propagation, (b) limited mobility control, and (c) mixed wettability versus water wetness. Because the surfactant is used below its CMC, micelles do not stop chromatographic separation of surfactant components. Experimental Details Experiments were conducted at 170°F (75°C) with the high salinity brines described in Table 1. The surfactant types and equpment used in this study have been described in previous papers.1,5 The surfactants, Fig. 1, were generally alcohol ethoxy [?CH2?CH2 O?] glyceryl [?CH2?CHOH?CH2] sulfonates (AEGS X-Y) supplied by Shell Chemical Co. X and Y refer to the hydrophobe size or range and ethoxylate (EO) number. Results for alpha olefin sulfonates (AOS X) and their mixtures with AEGS surfactants were also discussed. Unethoxylated alkyl biphenyl disulfonates (DOWFAX) were also used. Three types of surfactant adsorption and propagation experiments were conducted. The first, conducted in Berea cores cleaned with a 3 PV 0.1% sodium dithionite rinse, were used to characterize components which propagated with least adsorption. The second group conducted in similarly cleaned Berea cores or slim tubes packed with disagregated reservoir cores were used to optimize surfactant design. The third group, conducted in tubes packed with reservoir sand, were used to demonstrate that surfactants would propagate under reservoir conditions. Some of these were conducted at anaerobic conditions. A limited number of mobility control experiments in slim tubes packed with 2% illite-sand mixture2,5 were also conducted to demonstrate the effectiveness of the surfactants. Surfactant Characterization. The propagating surfactant was initially characterized with 1H nuclear magnetic resonance (NMR), isotachophoresis, and fast atom bombardment mass spectroscopy (FABS) after effluent from a coreflood had been de-salted using the following procedure: One PV of solution from a coreflood was evaporated to dryness and the residue digested in hot methanol to extract the surfactant. The solution was cooled, filtered, and evaporated to dryness. The residue was dissolved in 50/50 H2O then salted out with Na2 CO3 to produce aqueous and isopropanol layers. Water was added to the isopropanol layer and the salting out procedure repeated a second time. The final isopropanol layer was evaporated to dryness to give a de-salted surfactant-rich residue. 1H NMR was conducted at 360 MHz after the surfactant residue had been dissolved in D2O Isotachophoresis was conducted by injecting the surfactant residue into a capillary column in an electric field. Species of different charge are separated and detected by changes of potential gradient at zone boundaries. In FABS, a sample is bombarded by low-energy-charged atoms, which transfer their charge without breaking up the original molecule. The mass of charged species can be determined to four decimal places and used to confirm the identity of a species. Surfactant Adsorption. Surfactant adsorption was measured by injecting a surfactant solution into Berea cores, or 5/8 in.×12 tubes filled with reservoir sand at Sorw. The brines contained sodium dithionite in most of the experiments. The amount of surfactant adsorbed was determined with a methylene blue dye two-phase extraction technique.6 Mineralogy. The mineralogy of reservoir core material was determined by x-ray diffraction and thin-section point counting. The volumes of foreign mud and fines determined from thin-section analysis was subtracted from the total minerals to determine a more realistic reservoir core description.


Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2667 ◽  
Author(s):  
Wenxiang Chen ◽  
Zubo Zhang ◽  
Qingjie Liu ◽  
Xu Chen ◽  
Prince Opoku Appau ◽  
...  

Oil production by natural energy of the reservoir is usually the first choice for oil reservoir development. Conversely, to effectively develop tight oil reservoir is challenging due to its ultra-low formation permeability. A novel platform for experimental investigation of oil recovery from tight sandstone oil reservoirs by pressure depletion has been proposed in this paper. A series of experiments were conducted to evaluate the effects of pressure depletion degree, pressure depletion rate, reservoir temperature, overburden pressure, formation pressure coefficient and crude oil properties on oil recovery by reservoir pressure depletion. In addition, the characteristics of pressure propagation during the reservoir depletion process were monitored and studied. The experimental results showed that oil recovery factor positively correlated with pressure depletion degree when reservoir pressure was above the bubble point pressure. Moreover, equal pressure depletion degree led to the same oil recovery factor regardless of different pressure depletion rate. However, it was noticed that faster pressure drop resulted in a higher oil recovery rate. For oil reservoir without dissolved gas (dead oil), oil recovery was 2–3% due to the limited reservoir natural energy. In contrast, depletion from live oil reservoir resulted in an increased recovery rate ranging from 11% to 18% due to the presence of dissolved gas. This is attributed to the fact that when reservoir pressure drops below the bubble point pressure, the dissolved gas expands and pushes the oil out of the rock pore spaces which significantly improves the oil recovery. From the pressure propagation curve, the reason for improved oil recovery is that when the reservoir pressure is lower than the bubble point pressure, the dissolved gas constantly separates and provides additional pressure gradient to displace oil. The present study will help engineers to have a better understanding of the drive mechanisms and influencing factors that affect development of tight oil reservoirs, especially for predicting oil recovery by reservoir pressure depletion.


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