A Case Study to Evaluate Shale Oil Production Performance Models with Actual Well Production Data

2013 ◽  
Author(s):  
Hong Yuan ◽  
Linda Soar ◽  
Randy Packer ◽  
Mofazzal Bhuiyan ◽  
Jiafu Xu
Keyword(s):  
Oil Production ◽  
Production Performance ◽  
Production Data ◽  
Shale Oil ◽  
Performance Models ◽  
Well Production

scholarly journals A New Growth Curve for Predicting Production Performance of Water-Flooding Oilfields

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Feng Liu ◽  
Yancheng Liu ◽  
Xiao Guo ◽  
Fei Yang ◽  
Ahuan Zhou ◽  
...  
Keyword(s):  
Growth Curve ◽  
Growth Curves ◽  
Oil Production ◽  
Production Performance ◽  
Water Flooding ◽  
Production Data ◽  
New Model ◽  
Well Production ◽  
Curve Method ◽  
Water Cut

Oil production and water cut prediction is one of the most important research contents of reservoir production performance analysis. The growth curve method has the advantages of the general water drive curve method and the combined solution model method with fewer parameters and simple and fast calculation process and so it has been widely used in well production prediction. Based on the analysis of 4W and 4Y4 model growth curves, a new generalized growth curve of the well production performance is proposed. The new model can forecast cumulative oil production, annual oil production, and water cut at different oilfield development periods. A MATLAB program was developed to derive the parameters in the new model. The built model was applied to the production data of the Samattalol oilfield and Daqing oilfield. The predicted cumulative oil production, annual oil production, and water cut are all close to the actual production data, and satisfactory results are obtained, which demonstrates the practicability and reliability of the new model.

IMAGING ADDITIONAL OIL AND GAS RESERVES, INTEGRATING WELL PRODUCTION DATA AND 3D SEISMIC AVO CLASSIFICATION TO IMAGE REMAINING OIL AND GAS RESERVES—A CASE STUDY ON THE NGATORO FIELD, TARANAKI, NEW ZEALAND

2001 ◽  
Vol 41 (1) ◽  
pp. 679
Author(s):  
S. Reymond ◽  
E. Matthews ◽  
B. Sissons
Keyword(s):  
New Zealand ◽  
Oil And Gas ◽  
Seismic Facies ◽  
Bright Spot ◽  
Production Data ◽  
3D Seismic ◽  
Reservoir Model ◽  
Reservoir Properties ◽  
Well Production

This case study illustrates how 3D generalised inversion of seismic facies for reservoir parameters can be successfully applied to image and laterally predict reservoir parameters in laterally discontinuous turbiditic depositional environment where hydrocarbon pools are located in complex combined stratigraphic-structural traps. Such conditions mean that structural mapping is inadequate to define traps and to estimate reserves in place. Conventional seismic amplitude analysis has been used to aid definition but was not sufficient to guarantee presence of economic hydrocarbons in potential reservoir pools. The Ngatoro Field in Taranaki, New Zealand has been producing for nine years. Currently the field is producing 1,000 bopd from seven wells and at three surface locations down from a peak of over 1,500 bopd. The field production stations have been analysed using new techniques in 3D seismic imaging to locate bypassed oils and identify undrained pools. To define the objectives of the study, three questions were asked:Can we image reservoir pools in a complex stratigraphic and structural environment where conventional grid-based interpretation is not applicable due to lack of lateral continuity in reservoir properties?Can we distinguish fluids within each reservoir pools?Can we extrapolate reservoir parameters observed at drilled locations to the entire field using 3D seismic data to build a 3D reservoir model?Using new 3D seismic attributes such as bright spot indicators, attenuation and edge enhancing volumes coupled with 6 AVO (Amplitude Versus Offset) volumes integrated into a single class cube of reservoir properties, made the mapping of reservoir pools possible over the entire data set. In addition, four fluid types, as observed in more than 20 reservoir pools were validated by final inverted results to allow lateral prediction of fluid contents in un-drilled reservoir targets. Well production data and 3D seismic inverted volume were later integrated to build a 3D reservoir model to support updated volumetrics reserves computation and to define additional targets for exploration drilling, additional well planning and to define a water injection plan for pools already in production.

scholarly journals A Review on Gas Well Optimization Using Production Performance Models—A Case Study of Horizontal Well

2018 ◽  
Vol 03 (01) ◽  
pp. 57-67
Author(s):  
Kevin C. Igwilo ◽  
Emeka Emmanuel Okoro ◽  
Anthony Afam Nwude ◽  
Angela Onose Mamudu ◽  
Charles Y. Onuh
Keyword(s):  
Horizontal Well ◽  
Production Performance ◽  
Performance Models ◽  
Gas Well

Fracture Monitoring to Investigate Well Interference and Improve Shale Well Production Performance, A Case Study

2021 ◽  
Author(s):  
Shabnam Marouf ◽  
Mazher Ibrahim ◽  
Matt Sinky ◽  
Thomas Johnston ◽  
Joseph Becerril ◽  
...  
Keyword(s):  
Production Performance ◽  
Well Production

Improving Production Performance Through Multi-Plant Cross Learning

2021 ◽  
pp. 1-17
Author(s):  
Jing Huang ◽  
Qing Chang ◽  
Yu Qian ◽  
Jorge Arinez ◽  
Guoxian Xiao
Keyword(s):  
Manufacturing Sector ◽  
Production Performance ◽  
System Model ◽  
Production Data ◽  
Production Lines ◽  
Product Lines ◽  
Work Production ◽  
Critical Machines ◽  
Feasible Action

Abstract The advancement in Web-/Internet-based technologies and applications in manufacturing sector have increased utilization of cyber workspace to enable more efficient and effective ways of doing manufacturing from distributed locations. This work introduces a novel continuous improvement framework to improve the performance of production lines through multi-plant comparison and learning among identical or similar production lines in different locations by leveraging the information stored on factory cloud. In this work, production data from multiple identical production lines are collected and analyzed to learn the “best” feasible action on critical machines, which offers a new way to optimize the management of product lines. Machine learning and system model are used to find the relationships between the performance index and the available data. A real case study based on multiple similar automotive plants is provided to demonstrate the method and the increase of throughput is predicted.

Shale Oil Production Performance from a Stimulated Reservoir Volume

2011 ◽  
Author(s):  
Anish Singh Chaudhary ◽  
Christine A. Ehlig-Economides ◽  
Robert A. Wattenbarger
Keyword(s):  
Oil Production ◽  
Production Performance ◽  
Shale Oil ◽  
Stimulated Reservoir Volume ◽  
Reservoir Volume

Effect of Fracture Characteristics on Behavior of Fractured Shale-Oil Reservoirs by Cyclic Gas Injection

2016 ◽  
Vol 19 (02) ◽  
pp. 350-355 ◽  
Author(s):  
T.. Wan ◽  
J. J. Sheng ◽  
M. Y. Soliman ◽  
Y.. Zhang
Keyword(s):  
Oil Recovery ◽  
Gas Injection ◽  
Fracture Network ◽  
Production Performance ◽  
Oil Reservoirs ◽  
Shale Oil ◽  
Well Production ◽  
The Matrix ◽  
Stress Dependent ◽  
Shale Oil Reservoirs

Summary The current technique to produce shale oil is to use horizontal wells with multistage stimulation. However, the primary oil-recovery factor is only a few percent. The low oil recovery and abundance of shale reservoirs provide a huge potential for enhanced oil-recovery (EOR) process. Well productivity in shale oil-and-gas reservoirs primarily depends on the size of fracture network and the stimulated reservoir volume (SRV) that provides highly conductive conduits to communicate the matrix with the wellbore. The fracture complexity is critical to the well-production performance, and it also provides an avenue for injected fluids to displace the trapped oil. However, the disadvantage of gasflooding in fractured reservoirs is that injected fluids may break through to production wells by means of the fracture network. Therefore, a preferred method is to use cyclic gas injection to overcome this problem. In this paper, we use a numerical-simulation approach to evaluate the EOR potential in fractured shale-oil reservoirs by cyclic gas injection. Simulation results indicate that the stimulated fracture network contributes significantly to the well productivity by means of its large contact area with the matrix, which prominently enhances the macroscopic sweep efficiency in secondary cyclic gas injection. In our previous simulation work, the EOR potential was evaluated in hydraulic planar-traverse fractures without considering the propagation of a natural-fracture network. In this paper, we examine the effect of fracture networks on shale oilwell secondary-production performance. The impact of fracture spacing and stress-dependent fracture conductivity on the ultimate oil recovery is investigated. The results presented in this paper demonstrate that cyclic gas injection has EOR potential in shale-oil reservoirs. This paper focuses on evaluating the effect of fracture spacing, the size of the fracture network, fracture connectivity (uniform and nonuniform), and stress-dependent fracture-network conductivity on well-production performance of shale-oil reservoirs by secondary cyclic gas injection.

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