Validation of C/O log interpretation using fractional flow curve on workover plan of offshore oil well

2021 ◽  
Author(s):  
Roni Wibowo ◽  
Yohanes Novian Aribowo ◽  
Ferdinandus Klea Latuan
2019 ◽  
Vol 52 (1) ◽  
pp. 508-513
Author(s):  
Andressa Apio ◽  
Jônathan W.V. Dambros ◽  
Fabio C. Diehl ◽  
Marcelo Farenzena ◽  
Jorge O. Trierweiler

2010 ◽  
Vol 439-440 ◽  
pp. 1624-1627
Author(s):  
Wen Pei Zheng ◽  
Jian Chun Fan ◽  
Lai Bin Zhang ◽  
Dong Wen

Oil well tubing is used in oil extraction in offshore oil well. Under the force of tubular columns, erosion and pressure of drilling fluids, the oil well tubing usually fails in long-term service, which always leads to accidents and stagnation of production. So it’s especially necessary to detect faults in tubing. Intense-magnetic memory testing equipment for reusable offshore oil well tubing is developed for this consideration. The equipment is composed of feeding machines, baiting machines, transport machines and a detection machine. Measurement and control system decides the running sequence logic of these components and obtains fault signals of tubing. The avoidance of transport machines for oil well tubing coupling makes the transport of tubing stable. The synchronization control of transport and detection of tubing decides the accurate location of faults. The automatic switch of both detection units and measurement of fault signals makes it convenient to detect oil well tubing of multiple sizes.


2013 ◽  
Vol 416-417 ◽  
pp. 971-974
Author(s):  
Shi Sheng Guo ◽  
Ying Ying Wang ◽  
Chang Wang ◽  
Xiao Hui Liu

Optical fiber sensors have been used widely in offshore oilfield. An optical fiber sensor system including an optical fiber sensor testing temperature and pressure under well, a connector connecting the optical fiber sensor with the optical cable, two connectors connecting cables, 3600 meters armoured optical cable and an interrogator was applied in an offshore oil well on Zhoushan island. The temperature and pressure under well have been measured for about two month and the testing results are presented in this paper.


2009 ◽  
Author(s):  
I . Putu Eka Parta Winata Sari ◽  
Arthur Pinio Parapat ◽  
Rex Burgos ◽  
Jonathan Michael Christian ◽  
Abul K.M. Jamaluddin ◽  
...  

2022 ◽  
Vol 15 (4) ◽  
pp. 095-113
Author(s):  
M. L. F. Nascimento

In the Brazilian popular imagination, the discovery of oil was announced on August 9, 1938, by the Viscount of Corncob. The Donabentense Oil Company drilled Caraminguá’s first well, near the creek that passed through the Yellow Woodpecker Ranch (“Sítio do Picapau Amarelo,” in colloquial Portuguese). The latter was the name of a famous Brazilian children’s book. In fact, the first oil well flowed in Salvador, Bahia, on January 21, 1939, discovered by Manoel Ignácio Bastos (1891 - 1940), a Brazilian geographer engineer, whose business partner, Oscar Salvador Cordeiro (1890 - 1970), was the president of the Bahia Commodities Exchange. A brief analysis of documents, such as reports, Brazilian decrees and executive orders, as well as newspapers, detail the actions of these Brazilian oil pioneers. Statistical data analysis was also performed about onshore and offshore oil production between 1941 and 2019, as a part of Bastos and Cordeiros’ heritage.


Author(s):  
Zonghan Bai ◽  
Qi Kang ◽  
Haihao Wu ◽  
Jing Gong ◽  
Haiyuan Yao

Abstract In the production management of offshore oil field, the production of single well is very important for reservoir understanding and production allocation. Because of the high cost and short life of the conventional underwater flowmeter, the virtual metering technology has gradually become a trend. ESP (electric submersible pump) is a kind of mechanical equipment commonly used in artificial lift oil recovery method, and used in offshore oil field development and production. Based on the characteristics of ESP and real-time production data, this paper establishes the oil well flow inversion model and proposes a fast calculation method to meet the application requirements, which provides a new method for the acquisition of production information of offshore oil fields.


SPE Journal ◽  
2021 ◽  
pp. 1-14
Author(s):  
Zheyu Liu ◽  
Yiqiang Li ◽  
Xin Chen ◽  
Yukun Chen ◽  
Jianrong Lyu ◽  
...  

Summary Surfactant-polymer (SP) flooding has been regarded as an efficient technique for enhanced oil recovery in the development of mature oil fields, especially for those with heterogeneous conglomerate reservoirs. However, people are still unclear about the optimal SP flooding initiation timing (OSPT) that is expected to contribute to the maximum ultimate recovery factor in the case with a limited amount of SP solution injection. Accordingly, this study aims to investigate OSPT through conducting a series of experiments, including nuclear magnetic resonance (NMR) online monitoring, full-diameter coreflooding, and microfluidic study. The fractional-flow curve is used to identify OSPT, of which the effect on the oil recovery is analyzed. OSPT is demonstrated to be dependent on the amount of injected SP solution. An earlier-started SP flooding is favorable for achieving higher oil recovery factors under the premise of sufficiently high SP solution injection [more than 1.5 pore volume (PV)]. With the commonly used 0.65 PV of SP solution in the reservoir scale, OSPT is suggested to be at the moment when a water cut of 80 to 90% is reached. The formation of dense emulsions in the early-started SP flooding affects the performance of the post-waterflooding, which eventually decreases the ultimate oil recoveries because of inadequacy of SP solution. An earlier-started SP flooding contributes to a larger swept volume, but the initial efficiency of the SP flooding is lower than that of the waterflooding when the injection pressure is constant. OSPT is proposed through analyzing the fractional-flow curve in the case of 0.65 PV of SP injection, and the determined OSPT is validated by coreflooding experiments and field data. Moreover, OSPT for the conglomerate reservoir is suggested to be earlier than that for the relatively homogenous sandstone reservoir.


1999 ◽  
Vol 2 (01) ◽  
pp. 85-94 ◽  
Author(s):  
T.S. Ramakrishnan ◽  
D.J. Wilkinson

Summary Despite the importance of relative permeabilities in reservoir simulation, no information regarding them is available from current logs. In this paper, for the first time, we demonstrate a continuous log of multiphase flow properties. Mud filtrate invasion is usually regarded as a process that corrupts the true logs. In reality, the multiphase flow characteristics that influence filtrate flow also determine the subsequent reservoir performance. We propose the notion that invasion is an experiment, albeit uncontrolled, that may be used to invert for multiphase flow properties. Thus, in principle, inversion of array induction measurements in terms of the fractional flow curve is possible. The forward model for filtrate invasion is based on two-phase (aqueous and oleic), three-component (oil, water and salt) transport. Hysteretic behavior of relative permeability functions is included. The radial conductivity profiles calculated from the flow model are converted to induction logs using radial response functions. An algorithm for rapid calculations of the forward logs by combining the electromagnetic and flow models is developed. A nonlinear least squares method is used for parameter inversion from measurements. Additional data of near-wellbore resistivity, or logs obtained during drilling, may be included. Presentations for several output logs have been developed: a reserves estimate that partitions porosity into residual and movable saturations, initial water cut in the production stream, the fractional flow curve as a function of saturation, filtrate loss per unit depth, and a quality indicator. A field example of the processing, and its comparison with production data is also discussed. Introduction Drilling mud is usually weighted to maintain the wellbore hydrostatic pressure above that of the formation. This prevents the well from blowing out, but leads to invasion of borehole fluids into the formation, during which a mudcake is deposited on the borehole surface. The invasion process may consist of beneath-the-bit loss, dynamic filtration during mud circulation and finally static mud loss.1 While filtration beneath the bit may be important at the time of drilling, at the time of wireline logging most of the invasion is due to radial loss from the borehole wall. Except in tight formations, this loss is largely controlled by the mudcake, owing to its low permeability of about 1 nm2 [1 µD].2 One of the main objectives of logging is to determine the native formation resistivity in order to estimate oil reserves accurately. But the presence of an invaded region around the borehole distorts the electromagnetic logs and can make interpretation difficult. For understanding logs in the presence of invasion, a model based on a step resistivity change has been widely used, beginning with the work of Dumanoir et al.3 The step model consists of two zones of resistivity Rxo and Rt with the zone boundary at some distance ri Charts have been developed based on this model for various shoulder and mud resistivities to help the analyst deduce Rt For economic viability, in addition to knowing the reserves, it is important to know the recoverable amount. Here invasion has been regarded as representative of a waterflood. Thus, Rxo is a direct measure of the residual oil saturation Sor and tools to measure shallow resistivity have been built. Another unanticipated benefit of invasion has been discussed by Campbell and Martin 4 where a resistivity annulus is used as a pay zone indicator. The depth of invasion has also been believed to be related to permeability, although given the ultralow mudcake permeability, the correlation is probably weak. The motivation for the present work is provided by Ramakrishnan and Wilkinson,5 who developed the notion of interpreting conductivity profiles around the borehole by using fluid-flow physics. Based on these profiles, a rigorous and useful inversion result was proved. It was shown that with an ideal logging tool that could measure radial conductivity variation, the fractional flow curve could be exactly inverted provided the assumptions of the invasion model are met. This was true with just a single snapshot of the profile. The filtrate loss volume at every depth is also determined. A resistivity contrast between the mud filtrate and the connate water is required. Thus, for the first time in the history of logging, the possibility of obtaining multiphase flow properties was demonstrated. Although there is no ideal logging tool that measures conductivity profiles, tools that have multiple depths of investigation are becoming available. With the array induction imaging (AIT**) 28 raw measurements (not all independent), or more appropriately, five resolution matched channels are available. These may be combined with a shallow log and one which measures resistivity such as a log while drilling, e.g., MicroSFL** and compensated dual resistivity (CDR**). Then seven channels are obtained. The main purpose of this paper is to utilize such measurements that have different depths of investigation and demonstrate the practical utility of the inversion theorem 5,6 for obtaining fractional flow. From this, one is also able to obtain the initial water cut upon production, at any depth of interest. Rather than simply obtaining a resistivity profile based on one or two steps,7 the present work computes profiles that are constrained by the laws of fluid transport. Since the inverted flow parameters have restricted physical ranges, quality checks may be imposed. All of the familiar logs, such as Rt and Rxo can also be computed with little extra effort. Here we note that the work of Semmelbeck et al.8 done in parallel with ours, is an attempt to estimate single phase permeability (for low permeability gas sands) from array logs, quite different from the aim of this paper. Finally, it is important to point out that the principles behind the work presented here are applicable to any set of array logs that have multiple depths of investigation and are not restricted to the logging tools discussed in this paper.


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