A Simplified Semi-Analytical Model for Water-Coning Control in Oil Wells With Dual Completions System

2002 ◽  
Vol 124 (4) ◽  
pp. 246-252 ◽  
Author(s):  
Jakub Siemek ◽  
Jerzy Stopa
Keyword(s):  
Water Flow Rate ◽  
Water Contact ◽  
Numerical Investigations ◽  
Well Completion ◽  
In Situ Separation ◽  
Water Coning ◽  
Bottom Waters ◽  
Oil Water ◽  
Flow Simulator

In this paper, a mathematical model and numerical investigations on dynamic water/oil contact (WOC) in a reservoir with active bottom waters are addressed. An original analytical solution describing the theoretical shape of the dynamic oil-water contact in the reservoir is presented and compared with some results of numerical simulations made by a commercial flow-simulator. It is shown that both water and oil may be produced simultaneously but selectively from their respective zones. This allows a theoretical control of the dynamic WOC by the water flow rate. Consequently, an increased amount of oil can be produced along with water, depending on the well completion interval in relation to the oil/water contact in the reservoir. This shows the possibility of an “in situ” separation concept. The advantage of such a separate production of water and oil is to prevent the mixing oil with water within the pump and tubing.

TiO2/sulfonated graphene oxide/Ag nanoparticle membrane: In situ separation and photodegradation of oil/water emulsions

2018 ◽  
Vol 554 ◽  
pp. 16-25 ◽  
Author(s):  
Dongliang Qian ◽  
Dongyun Chen ◽  
Najun Li ◽  
Qingfeng Xu ◽  
Hua Li ◽  
...  
Keyword(s):  
Graphene Oxide ◽  
Ag Nanoparticle ◽  
Sulfonated Graphene ◽  
In Situ Separation ◽  
Oil Water

Design and fabrication of polydopamine based superhydrophobic fabrics for efficient oil-water separation

Soft Matter ◽  
2021 ◽  
Author(s):  
Jixi Zhang ◽  
Ligui Zhang ◽  
Xiao Gong
Keyword(s):  
Contact Angle ◽  
Water Contact Angle ◽  
Sol Gel ◽  
High Water ◽  
Water Contact ◽  
Water Separation ◽  
Oil Water Separation ◽  
Oil Water ◽  
Fabric Surface

In this work, we prepare a PDMS-SiO2-PDA@fabric with high water contact angle (WCA=155o). Combining dopamine self-polymerization and sol-gel method, SiO2 is in situ grown on a PDA-modified fabric surface to...

scholarly journals Preparation and Application of Superhydrophobic Copper Mesh by Chemical Etching and In-situ Growth

2021 ◽  
Vol 9 ◽  
Author(s):  
Qilei Tong ◽  
Zhenzhong Fan ◽  
Biao Wang ◽  
Qingwang Liu ◽  
Yunhe Bo ◽  
...  
Keyword(s):  
Contact Angle ◽  
Chemical Etching ◽  
Separation Efficiency ◽  
Water Mixture ◽  
Water Contact ◽  
Water Separation ◽  
Oil Water Separation ◽  
Oil Water ◽  
Copper Mesh

Oily sewage and floating oil in the ocean post a huge threat to the ecological environment, therefore, developing an efficient separation for oil/water mixtures is an urgent need. Currently, superhydrophobic materials exhibit excellent oil/water separation ability. In this study, a superhydrophobic copper mesh prepared by the chemical etching method and the in-situ growth method and the performance evaluation are introduced. The oxide layer on the surface of the copper mesh is first removed by pickling, and then immersed in FeCl3 solution for chemical etching to make the surface rough, stearic acid (SA) is used for in-situ growth to reduce the surface energy, a superhydrophobic oil-water separation copper mesh is obtained. The water contact angle (WCA) of the copper mesh is more than 160°. The copper mesh is chemically stable and can effectively adsorb floating oil and separate the oil-water mixture. After several oil-water separation experiments, the oil-water separation efficiency can still be above 98%. The effects of the concentration of FeCl3 and SA on the contact angle and oil-water separation efficiency are investigated, the results show that when the concentration of FeCl3 is 2% and SA is 1.5%, the WCA and oil-water separation efficiency are the largest. The research used a simple and environmentally friendly method to prepare the oil-water separation copper mesh, which has important application significance for water quality restoration.

Assessment of Down-Hole Water Sink Technology for Controlling Water Inflow at Petroleum Wells

2004 ◽  
Vol 126 (4) ◽  
pp. 334-341 ◽  
Author(s):  
Andrew K. Wojtanowicz ◽  
Miguel Armenta
Keyword(s):  
Bottom Water ◽  
Water Inflow ◽  
Water Drainage ◽  
Gas Reservoirs ◽  
Water Contact ◽  
Hydrocarbon Production ◽  
Well Completion ◽  
Oil Water ◽  
Petroleum Wells ◽  
Downhole Water Sink

Water inflow to petroleum wells hampers production of oil or gas leading to early shut downs of the wells without sufficient recovery of hydrocarbons in place. Downhole water sink (DWS) is a completion/production technique for producing water-free hydrocarbons with minimum amount of water from reservoirs with bottom water drive and strong tendency to water coning. DWS eliminates water invasion to hydrocarbon production by employing hydrodynamic mechanism of coning control in situ at the oil-water or gas-water contact. The mechanism is based upon a localized water drainage generated by another well completion (downhole water sink) installed in the aquifer beneath the oil/water or gas/water contact. The paper summarizes the development and state-of-the-art of DWS technology. Presented are results from theoretical studies, physical and numerical experiments, and field projects to date. It is demonstrated that DWS could increase recovery and control water production in vertical and horizontal oil wells—with natural flow, downhole pumps or gas lift, and in the gas wells producing from low-pressure tight gas reservoirs. To date, DWS has been used in reservoirs with bottom water. Moreover, in principle, the technology might also be used in the dipping reservoir structures with encroaching side-water.

scholarly journals FILTRATION MODEL OF OIL CONING IN A BOTTOM WATER-DRIVE RESERVOIR

2018 ◽  
Vol 15 (30) ◽  
pp. 725-733
Author(s):  
R. F. YAKUPOV ◽  
V. S. MUKHAMETSHIN ◽  
K. T. TYNCHEROV
Keyword(s):  
Hydrodynamic Model ◽  
Bottom Water ◽  
Water Contact ◽  
Hydrodynamic Simulation ◽  
Water Coning ◽  
Oil Water ◽  
Filtration Modeling ◽  
Water Saturated ◽  
Successive Method ◽  
Filtration Model

The purpose of the paper is the substantiation of the application of the oil coning technology in the process of the hydrodynamic simulation of the successive method, which includes the perforation of the casing below the level of oil-water contact; the drawing of water from the lower water-saturated part of the reservoir; the isolation of this perforation interval; the drilling-in of the near-caprock oil-saturated part of the reservoir and the production of near-caprock oil. The leading approach to the research of this problem is the method of filtration modeling of the oil and water coning processes in the reservoir. As a result of the study, a hydrodynamic model of a well has been created, which corresponds to the requirements of the visualization of the process, the authenticity and the possibility to control the necessary parameters of the model and to estimate the effectiveness of the technology.

scholarly journals A Hybrid Artificial Intelligence Model to Predict the Elastic Behavior of Sandstone Rocks

2019 ◽  
Vol 11 (19) ◽  
pp. 5283 ◽  
Author(s):  
Gowida ◽  
Moussa ◽  
Elkatatny ◽  
Ali
Keyword(s):  
Poisson’S Ratio ◽  
Accurate Determination ◽  
Oil And Gas Industry ◽  
Poisson's Ratio ◽  
Elastic Behavior ◽  
Percentage Error ◽  
Ann Model ◽  
Field Development ◽  
Well Completion

Rock mechanical properties play a key role in the optimization process of engineering practices in the oil and gas industry so that better field development decisions can be made. Estimation of these properties is central in well placement, drilling programs, and well completion design. The elastic behavior of rocks can be studied by determining two main parameters: Young’s modulus and Poisson’s ratio. Accurate determination of the Poisson’s ratio helps to estimate the in-situ horizontal stresses and in turn, avoid many critical problems which interrupt drilling operations, such as pipe sticking and wellbore instability issues. Accurate Poisson’s ratio values can be experimentally determined using retrieved core samples under simulated in-situ downhole conditions. However, this technique is time-consuming and economically ineffective, requiring the development of a more effective technique. This study has developed a new generalized model to estimate static Poisson’s ratio values of sandstone rocks using a supervised artificial neural network (ANN). The developed ANN model uses well log data such as bulk density and sonic log as the input parameters to target static Poisson’s ratio values as outputs. Subsequently, the developed ANN model was transformed into a more practical and easier to use white-box mode using an ANN-based empirical equation. Core data (692 data points) and their corresponding petrophysical data were used to train and test the ANN model. The self-adaptive differential evolution (SADE) algorithm was used to fine-tune the parameters of the ANN model to obtain the most accurate results in terms of the highest correlation coefficient (R) and the lowest mean absolute percentage error (MAPE). The results obtained from the optimized ANN model show an excellent agreement with the laboratory measured static Poisson’s ratio, confirming the high accuracy of the developed model. A comparison of the developed ANN-based empirical correlation with the previously developed approaches demonstrates the superiority of the developed correlation in predicting static Poisson’s ratio values with the highest R and the lowest MAPE. The developed correlation performs in a manner far superior to other approaches when validated against unseen field data. The developed ANN-based mathematical model can be used as a robust tool to estimate static Poisson’s ratio without the need to run the ANN model.

scholarly journals Complex Aerogels Generated from Nano-Polysaccharides and Its Derivatives for Oil–Water Separation

Polymers ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1593 ◽  
Author(s):  
Hajo Yagoub ◽  
Liping Zhu ◽  
Mahmoud H. M. A. Shibraen ◽  
Ali A. Altam ◽  
Dafaalla M. D. Babiker ◽  
...  
Keyword(s):  
Guar Gum ◽  
Corn Oil ◽  
Cellulose Nanofibers ◽  
Aqueous Media ◽  
Three Dimensional ◽  
Absorption Capacity ◽  
Water Contact ◽  
Water Separation ◽  
Oil Water Separation ◽  
Oil Water

The complex aerogel generated from nano-polysaccharides, chitin nanocrystals (ChiNC) and TEMPO-oxidized cellulose nanofibers (TCNF), and its derivative cationic guar gum (CGG) is successfully prepared via a facile freeze-drying method with glutaraldehyde (GA) as cross-linkers. The complexation of ChiNC, TCNF, and CGG is shown to be helpful in creating a porous structure in the three-dimensional aerogel, which creates within the aerogel with large pore volume and excellent compressive properties. The ChiNC/TCNF/CGG aerogel is then modified with methyltrichlorosilane (MTCS) to obtain superhydrophobicity/superoleophilicity and used for oil–water separation. The successful modification is demonstrated through FTIR, XPS, and surface wettability studies. A water contact angle of 155° on the aerogel surface and 150° on the surface of the inside part of aerogel are obtained for the MTCS-modified ChiNC/TCNF/CGG aerogel, resulting in its effective absorption of corn oil and organic solvents (toluene, n-hexane, and trichloromethane) from both beneath and at the surface of water with excellent absorption capacity (i.e., 21.9 g/g for trichloromethane). More importantly, the modified aerogel can be used to continuously separate oil from water with the assistance of a vacuum setup and maintains a high absorption capacity after being used for 10 cycles. The as-prepared superhydrophobic/superoleophilic ChiNC/TCNF/CGG aerogel can be used as a promising absorbent material for the removal of oil from aqueous media.

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