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Collaborating Authors
Kuwait
Pore Pressure Prediction Using High Resolution Velocity and Acoustic Impedance in a Complex Field
Thakur, Ram Kumar (Joint Operations - Wafra, Kuwait) | Angstadt, David M. (Joint Operations - Wafra, Kuwait) | Chakraborty, Kalyan (Joint Operations - Wafra, Kuwait) | Kelsch, Ken D. (Joint Operations - Wafra, Kuwait)
Abstract Pore pressure prediction for exploratory deep Paleozoic well to avoid kicks, blow-outs, borehole instability and to design safe mud weight during drilling phase is a major challenge due to unavailability of deep well informations in South Fuwaris field, Kuwait. The problem was resolved integrating acoustic impedance volume derived from innovative seismic inversion on Prestack 3D Q-Land seismic data and geomechanical model with deeper pore pressure trend from drilled well data. The Q-land data with exceptionally clean, high signal to noise ratio, reliable amplitude, stable phase and wide range of frequency with high trace density facilitated reliable inversion for prediction of reservoir properties from seismic. The high resolution is achieved through global optimization to a single non-linear objective function, which provides the optimum positioning of the layers and 3D multi-trace damping of the random-noise. The low frequency model, a prerequisite for seismic inversion was built with densely sampled stacking velocity constraining on seismic horizons and wells. The most popular Bower's method, accounts for Loading (under-compaction) and Unloading (fluid expansion ) was applied to estimate Bower's parameters by cross-plotting velocity against effective vertical stress for drilled well - "A". The velocity reversal at Sargelu formation was confirmed with kicks in this well which was also cross validated with nearby Humma wells. The pore pressure and frac gradient were estimated along proposed exploratory well with the trend developed at known shallower well "A" which was found to be in conformity with regional trends. The lithology predicted along proposed boreholes in order to design mud weight plug and sanctity was reviewed at Top lithological markers using pseudo porosity logs derived with multi-attributes using neural network technique. This paper presents an integrated approach of pore pressure prediction for drilling deep exploratory well to minimize drilling risks.
- Asia > Middle East > Saudi Arabia > Saudi Arabia - Kuwait Neutral Zone (0.25)
- Asia > Middle East > Kuwait > Saudi Arabia - Kuwait Neutral Zone (0.25)
- Geophysics > Seismic Surveying > Surface Seismic Acquisition (1.00)
- Geophysics > Seismic Surveying > Seismic Processing (1.00)
- Geophysics > Seismic Surveying > Seismic Modeling > Velocity Modeling > Seismic Inversion (0.74)
- Asia > Middle East > Saudi Arabia > Saudi Arabia - Kuwait Neutral Zone > Arabian Basin > Widyan Basin > South Fuwaris Field > Pre-Khuff Formation (0.99)
- Asia > Middle East > Saudi Arabia > Saudi Arabia - Kuwait Neutral Zone > Arabian Basin > Widyan Basin > South Fuwaris Field > Khuff Formation (0.99)
- Asia > Middle East > Kuwait > Saudi Arabia - Kuwait Neutral Zone > Arabian Basin > Widyan Basin > South Fuwaris Field > Pre-Khuff Formation (0.99)
- Asia > Middle East > Kuwait > Saudi Arabia - Kuwait Neutral Zone > Arabian Basin > Widyan Basin > South Fuwaris Field > Khuff Formation (0.99)
Evaluate Field Development Option, Production Optimization Scenarios and Analysis of Surface Network Upgrading Phases of Abu-Attifel
Ali Algdamsi, Hossein (Schlumberger) | Ali Misherghi, Nasser (Schlumberger) | Ganib, Hussein (Schlumberger) | Zeglam, Adel (Mellitah Oil & Gas B.V Libya) | Jallul, Hassan (Mellitah Oil & Gas B.V Libya)
Abstract Most of the mature field surface networks suffer from the back pressure applied on the wellheads. An extra pressure in front of the influent fluids should be overcome to handle the fluids to the final destination gathering point. This paper presents de-bottlenecking of Abu Attifel surface network and the solution proposed during production optimization phases. To capture the performance of Abu Attifel field wells, sixty wells single branch model were built using nodal analysis technique. All thes wells were connected together to present the total field network. The network model consists of two different pressure systems. Low pressure system, which are 7 wells connected directly to the second stage separator, the remaining 53 wells are connected to the first stage separator operating at higher pressure. The network model was calibrated and matched globally through tuning of pipeline roughness and compared with the pressure measuring points at the gathering manifolds. As a result, reasonable match was obtained with 2% difference between actual and model calculated flow rates. All gathering points and well headers were matched with the available pressure and flow rate measurements. This validated network provided a valuable tool to evaluate, optimize and enable enhancement of the oil production. It defined several solutions to increase oil production such as converting some wells to the lower pressure separator, and the visibility to install two multiphase booster pumps in the flow line.
- Asia > Middle East (0.29)
- Africa > Middle East > Libya > Al Wahat District (0.27)
- North America > United States > Texas > Dawson County (0.25)
- Asia > Middle East > Saudi Arabia > Saudi Arabia - Kuwait Neutral Zone ("Partitioned Zone") > Arabian Gulf > Arabian Basin > Arabian Gulf Basin > Khafji Field (0.99)
- Asia > Middle East > Kuwait > Saudi Arabia - Kuwait Neutral Zone ("Partitioned Zone") > Arabian Gulf > Arabian Basin > Arabian Gulf Basin > Khafji Field (0.99)
- Africa > Middle East > Libya > Al Wahat District > Sirte Basin > Area B > Abu Attifel Field (0.99)
Abstract Streamline and streamtube methods have been used in fluid flow computations for many years. Early applications for hydrocarbon reservoir simulation were first reported by Fay and Pratts in the 1950s. Streamline-based flow simulation has made significant advances in the last 15 years. Today's simulators are fully three-dimensional and fully compressible and they account for gravity as well as complex well controls. Most recent advances also allow for compositional and thermal displacements. In this paper, we present a comprehensive review of the evolution and advancement of streamline simulation technology. This paper offers a general overview of most of the material available in the literature on the subject. This work includes the review of more than 200 technical papers and gives a chronological advancement of streamline simulation technology from 1996 to 2011. Firstly, three major areas are identified. These are development of streamline simulators, enhancements to current streamline simulators and applications. In view of the fact that this state of-the-art technology has been employed for a wide range of applications, we defined three major application areas that symbolize the relevance and validity of streamline simulation in addressing reservoir engineering concerns. These are history matching, reservoir management and upscaling, ranking and characterization of fine-grid geological models. Streamline simulation has undergone several phases within its short stretch in the petroleum industry. Initially, the main focus was on the speed advantage and less on fluid flow physics. Next, the focus was shifted to extend its applicability to more complex issues such as compositional and thermal simulations, which require the inclusion of more physics, and potentially reducing the advantage of computational time. Recently, the focus has shifted towards the application of streamline technologies to areas where it can complement finite difference simulation such as revealing important information about drainage areas, flood optimization and improvement of sweep efficiency, quantifying uncertainties, etc.
- South America (1.00)
- Europe (1.00)
- Africa (0.92)
- (6 more...)
- Geology > Sedimentary Geology > Depositional Environment (0.93)
- Geology > Rock Type > Sedimentary Rock (0.67)
- Geology > Geological Subdiscipline > Economic Geology > Petroleum Geology (0.34)
- Geophysics > Time-Lapse Surveying > Time-Lapse Seismic Surveying (1.00)
- Geophysics > Seismic Surveying (1.00)
- South America > Venezuela > Trujillo > Maracaibo Basin > Ayacucho Blocks > Ceuta-Tomoporo Field (0.99)
- South America > Argentina > Mendoza > Cuyo Basin > La Ventana Field (0.99)
- South America > Argentina > Cuyo Basin (0.99)
- (26 more...)
Abstract The purpose of this study is to develop a horizontal well closed-looped optimization model for enhancing ultimate recovery of strong bottom water reservoir in Sudan. An optimization model for horizontal well using the statistical properties of geology and development data, numerical simulation and fuzzy mathematics, is presented. The study was carried out as follows: 1) a mechanism model was established based on physical and fluid properties of the oilfields in Block 1/2/4, Sudan. The factors affecting the development performance of horizontal well, such as reservoir and fluid properties, inter-beds distribution, parameters of horizontal segment and production rate were discussed. 2) Development performance of typical massive bottom water reservoir in Sudan was analyzed. 3) The weight of each factor was determined using fuzzy mathematics method based on the mechanism study and on site practice of horizontal wells. 4) Determine the optimized location and production parameters of horizontal well by combining numerical simulation and integrated evaluation model. The optimization model was used in H oilfield of Block 1/2/4, Sudan, the result of numerical simulation show that this model can efficiently determine the location of horizontal well and can lead to increase oil production in bottom water reservoir. It can also give a reference for numerical simulation, and have a great improve place.
- Africa > Sudan (1.00)
- Asia > China (0.94)
- North America > United States > Texas (0.28)
- North America > United States > Texas > Permian Basin > Yeso Formation (0.99)
- North America > United States > Texas > Permian Basin > Yates Formation (0.99)
- North America > United States > Texas > Permian Basin > Wolfcamp Formation (0.99)
- (34 more...)