The DOE Gladys McCall Geopressure-Geothermal Gas/Brine Well Test: Summary of Well Test Results

1991 ◽  
Author(s):  
L.A. Rogers ◽  
P.L. Randolph ◽  
C.G. Hayden ◽  
B.A. Eaton ◽  
T.E. Meahl
Keyword(s):  
Test Results ◽  
Well Test

CSG well testing—Santos' experience in Queensland

2013 ◽  
Vol 53 (1) ◽  
pp. 227
Author(s):  
Czek Hoong Tan ◽  
Guncel Demircan ◽  
Mathias Satyagraha
Keyword(s):  
Radial Flow ◽  
Test Methods ◽  
Well Testing ◽  
Test Results ◽  
Well Test ◽  
Well Performance ◽  
Validity Of Results ◽  
Transient Behaviour ◽  
Key Factor ◽  
Primary Porosity

Permeability of the cleat system is a key factor controlling the productivity of CSG reservoirs and, therefore, the commerciality of development projects. Well testing is routinely used to provide representative values of coal permeability. The authors’ experience has shown pressure transient behaviour in coal reservoirs to be similar to those in primary porosity systems, with pseudo radial flow frequently observed, and the dual-porosity signature largely absent. Despite the authors’ best efforts in test design, large permeability variation and extremely high skin factors have been seen. The authors have run variations of drill stem tests (DSTs), injection tests, and wireline tests to understand the dependency of results to test methods, and the validity of results obtained. Pertinent examples of each type of test are discussed. Finally, recommendations to reconcile well test results to actual well performance are presented.

scholarly journals Experimental Study and Estimation of Groundwater Fluctuation and Ground Settlement due to Dewatering in a Coastal Shallow Confined Aquifer

2019 ◽  
Vol 7 (3) ◽  
pp. 58 ◽  
Author(s):  
Jiong Li ◽  
Mingguang Li ◽  
Lulu Zhang ◽  
Hui Chen ◽  
Xiaohe Xia ◽  
...  
Keyword(s):  
High Speed ◽  
Prediction Method ◽  
Burial Depth ◽  
Confined Aquifer ◽  
Test Results ◽  
Well Test ◽  
Ground Settlement ◽  
Empirical Prediction ◽  
Soil Settlement ◽  
Groundwater Fluctuations

The coastal micro-confined aquifer (MCA) in Shanghai is characterized by shallow burial depth, high artesian head, and discontinuous distribution. It has a significant influence on underground space development, especially where the MCA is directly connected with deep confined aquifers. In this paper, a series of pumping well tests were conducted in the MCA located in such area to investigate the dewatering-induced groundwater fluctuations and stratum deformation. In addition, a numerical method is proposed for the estimation of hydraulic parameter, and an empirical prediction method is developed for dewatering-induced ground settlement. Test results show that groundwater drawdowns and soil settlement can be observed not only in MCA but also in the aquifers underneath it. This indicates that there is a close hydraulic connection among each aquifer. Moreover, the distributions and development of soil settlement at various depths are parallel to those of groundwater drawdowns in most areas of the test site except the vicinity of pumping wells, where collapse-induced subsidence due to high-speed flow may occur. Furthermore, the largest deformation usually occurs at the top of the pumping aquifer instead of the ground surface, because the top layer is expanded due to the stress arch formed in it. Finally, the proposed methods are validated to be feasible according to the pumping well test results and can be employed to investigate the responses of groundwater fluctuations and stratum deformations due to dewatering in MCA.

scholarly journals Gas-condensate well test results interpretation at Helang field

2006 ◽  
Vol 71 (6) ◽  
pp. 564-573
Author(s):  
Ooi Kiam Chai ◽  
Takeshi Kano ◽  
Jotaro Tomoeda
Keyword(s):  
Gas Condensate ◽  
Test Results ◽  
Well Test

scholarly journals Sedimentation reconstruction conditions of Cretaceous and Jurassic productive sandy layers of the Gydan Peninsula (on the example of Geophysical field)

2020 ◽  
Vol 15 (4) ◽  
Author(s):  
E.S. Surikova ◽  
◽  
V.A. Kontorovich ◽  
M.O. Fedorovich ◽  
◽  
...  
Keyword(s):  
Seismic Attributes ◽  
Test Results ◽  
Well Test ◽  
Geophysical Field ◽  
Petrophysical Data

Based on the analysis of seismic attributes, the shape of the SP curves, lithological and petrophysical data, and well test results, the sedimentation environments of the Bajocian, Berriasian-Hauterivian, Aptian and Cenomanian sandstone beds of the Geophysical field were reconstructed; its facies and zones of sandstone beds distribution and its claying are determined.

The Role of Well Testing in Recognizing Deferred Production Revenue

2004 ◽  
Vol 126 (3) ◽  
pp. 177-183 ◽  
Author(s):  
P. Mehdizadeh ◽  
D. T. Perry
Keyword(s):  
Measurement Technology ◽  
Well Testing ◽  
Test Results ◽  
Well Test ◽  
Optimum Period ◽  
Well Tests ◽  
The Cost ◽  
Improved Accuracy ◽  
Allocation Factor

Well testing is routinely performed to evaluate the performance of a well, which establishes the allocation factor for the lease, which in turn establishes tax and royalty basis. Most well testing is done with conventional gravity separators, which separates the produced stream into oil, water, and gas components and measures these individual components as individual streams. New multiphase measurement technology improves well test results through improved accuracy, consistency, and more frequent well testing. This paper examines the implication of these improved capabilities to recognize well problems and optimize production. A simple economic model is provided that an operator can use to assess the balance between the cost of performing periodic well tests and the benefits of more quickly discovering well problems that can result in less than expected production. The model relates the cost of decreased production, as the result of unforeseen changes in the well, to the frequency and accuracy of the well tests. The model derives an optimum test interval that minimizes the total cost of well testing and deferred production on the basis of the probability that a higher than normal decline in production rate can be detected by well testing. The model is then used in several field examples to assess the optimum period between well tests and how the optimum period can lead to reduced cost of operation and improved production.

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