Optimization of Gas Well Productivity by Controlling Water Production

2005 ◽  
Author(s):  
Amjad Hussain Shar
Keyword(s):  
Water Production ◽  
Gas Well ◽  
Well Productivity

scholarly journals A productivity prediction method for condensate gas reservoir

2020 ◽  
Vol 213 ◽  
pp. 02001
Author(s):  
Quan Hua Huang ◽  
Hong Jun Ding ◽  
Xing Yu Lin
Keyword(s):  
Pressure Gradient ◽  
Stress Sensitivity ◽  
Water Production ◽  
Gas Wells ◽  
Gas Reservoir ◽  
Gas Well ◽  
Well Productivity ◽  
Inclined Angle ◽  
The Impact ◽  
Starting Pressure Gradient

At present, multiphase flow productivity calculation requires many parameters, and most of them only consider oil and gas two-phase flow, which is complicated and limited. Therefore, a reasonable productivity formula of condensate gas reservoir with producing water is needed. The three-zone model of condensate gas reservoirs is generally applied to the physical model for inferring productivity. On this basis, an improved model is established, which includes that different seepage characteristics are considered for different zones. Moreover, the effects of inclined angle and water production on gas wells are regarded as pseudo-skin factors and additional-skin factors. In addition, Zone I considers the effects of high-speed nonDarcy effect(HSND), starting pressure gradient, stress sensitivity, inclined angle and water production; Zone II is the same way excepting starting pressure gradient and stress sensitivity ; Zone III only considers the effects of inclined angle and water production. As a result, a productivity equation with multiple factors for condensate gas wells is established. Through analysing cases and influences in H gas reservoir X1 well, the HSND, starting pressure gradient, stress sensitivity and water production have a negative impact on gas well productivity, but the inclined angle is opposite. Founded that the starting pressure gradient impacts on productivity is less than the HSND because of the limited radius of Zone I; the impact of the HSND on productivity increases with the decreasing of bottom hole pressure; the impact of water production on gas well productivity is much higher. When the angle is over 60°, the effect of gas

The Influence of Equilibrium Water on Gas-Well Productivity

2002 ◽  
Author(s):  
F.B. Thomas ◽  
E. Shtepani ◽  
D.B. Bennion ◽  
J. Rushing
Keyword(s):  
Gas Well ◽  
Well Productivity

Energy distribution of weak deformed rock mass and its influence on gas well productivity

2019 ◽  
Vol 7 (2) ◽  
pp. T423-T435 ◽  
Author(s):  
Shuai Yin ◽  
Yi Wang ◽  
Jingzhou Zhao ◽  
Yan Wang ◽  
Weitao Wu ◽  
...  
Keyword(s):  
Energy Density ◽  
Strain Energy Density ◽  
Strain Energy ◽  
Production Capacity ◽  
Type I ◽  
Tight Sandstone ◽  
Tectonic Zone ◽  
Gas Well ◽  
Well Productivity ◽  
Low Amplitude

Microfractures represent an important rupture type, but current studies on the construction of microscale rupture parameters and their impacts on oil and gas production capacity are relatively weak. Therefore, we constructed the strain energy density ([Formula: see text]) based on 3D finite-element method (FEM) for the tight sandstone reservoir of the Permian He8 segment in the western region of the Sulige gas field, Ordos Basin. It indicated that the [Formula: see text] values of the major production layers are mainly distributed between 0.12 and [Formula: see text]. High-[Formula: see text]-value regions ([Formula: see text]) are mainly distributed in local areas of the western, central, and eastern regions. The [Formula: see text] values are small in the northwestern part of the study area and are usually less than [Formula: see text]. There is a very good exponential correlation between the [Formula: see text] values and gas well productivity (the main controlling factor for the production capacity of the He8 tight sandstone is the gas content, and fracturing, as an engineering factor affecting capacity, has not been taken into account). The distribution of the strain energy densities also matches the low-amplitude tectonic zone well. We have developed the criterion for the discrimination of gas well productivity using the strain energy density. According to this criterion, the conformity rates of type I, type II, and type III wells are 92.3%, 73.0%, and 83.3%, respectively. The areas with [Formula: see text] values greater than [Formula: see text], especially for areas with [Formula: see text] values exceeding [Formula: see text], which should serve as the core exploration targets. The research results can effectively guide tight gas sandstone exploration in low-amplitude tectonic zones and reduce the risk of drilling.

Infill Depleted Gas Well Cementing Challenges for Offshore Myanmar Drilling Operations

2021 ◽  
Author(s):  
Ajita Ang C K Ang ◽  
Avinash A Kumar Kumar ◽  
Syazwan B A Ghani Ghani ◽  
Nann N N Maung Nann ◽  
M Hanif Yusof Yusoff ◽  
...  
Keyword(s):  
Water Production ◽  
Cement Slurry ◽  
Water Contact ◽  
Gas Well ◽  
Well Drilling ◽  
Depletion Rate ◽  
Open Hole ◽  
Drilling Operations ◽  
Sensitivity Studies ◽  
Remedial Work

Abstract Infill well drilling was planned and executed to increase production in a significantly depleted field. A total of 3 infill wells were drilled in 2 different layers of reservoir for an offshore operator in Myanmar. In the offset wells, water production had become significantly higher throughout. Previously all offset wells in this field were completed with open hole sand screens was chosen to isolate the water bearing sand in the sand reservoir below. Pore pressure prognosis were calculated from offset well depletion rate. Reservoir formation properties is assumed to be same throughout the field. The first well was drilled and was found that there were two gas water contacts through the 3 targeted sand layers. The gas water contact and WUT (Water Up To) in this well were unexpected and it was prognosed that these gas water contact are there due to compartmentalization. The 7" liner were set and cemented throughout these reservoirs. The cement job went as per the plan and there were no losses recorded during cementing. However, initial cement log did not show isolation. 2 more runs of cement log were performed 6 days and 10 days later while conducting intervention activities on other wells. All three cement log came to the same conclusion, showing no isolation throughout the annulus of the 7" production liner. Significant amount of gas had percolated into the annulus over time. Despite no evidence of poor cement slurry design observed during running various sensitivity studies and post-job lab tests final cement log, which was conducted under pressure and confirmed no hydraulic isolation. A cement remedial job was planned and an investigation was conducted to identify the plausible root causes. This paper explains on the root causes of poor cement presence in the annulus, and the remedial work that took place to rectify the issue.

Model of influence of hydraulic drop along horizontal well on gas well productivity

2021 ◽  
Author(s):  
D.A. Samolovov ◽  
R.T. Apasov ◽  
I.V. Perevozkin ◽  
S.V. Kuznetsov
Keyword(s):  
Horizontal Well ◽  
Gas Well ◽  
Well Productivity

A New Method to Predict Gas Production Based on Fuzzy BP Artificial Neural Network

2014 ◽  
Vol 1044-1045 ◽  
pp. 688-691
Author(s):  
Ran Zhang ◽  
Jun Zhou ◽  
Cheng Yong Li
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Gas Production ◽  
Gas Well ◽  
Well Productivity ◽  
Qualitative Factors ◽  
Productivity Prediction

BP neural network has been successfully used in the gas well productivity prediction, but as a result of neural network is sensitive to the number of input parameters, we had to ignore some factors that is less important to the gas well productivity. In addition, the existing various productivity prediction method cannot consider the influence of some important qualitative factors. This article integrated the advantages of fuzzy comprehensive evaluation and BP neural network, fuzzy comprehensive evaluation method is used to construct the BP neural network's input matrix, and BP neural network learning function is used to solve the connection weights, so as to achieve the aim of predicting gas production. This method not only can consider as many factors influence on gas well production, ut also can consider qualitative factors, so the forecast results of the new model are more realistically close to the actual production situation of reservoirs.

The Effect of Stress-Sensitivity on Gas well Production in Volcanic Gas Reservoirs

2014 ◽  
Vol 962-965 ◽  
pp. 636-641
Author(s):  
Tian Qing ◽  
Peng Cheng Liu ◽  
Zong Yao Qi
Keyword(s):  
Volcanic Rocks ◽  
Development Program ◽  
Prediction Method ◽  
Stress Sensitivity ◽  
Gas Production ◽  
Gas Reservoirs ◽  
Volcanic Gas ◽  
Exponential Relationship ◽  
Gas Well ◽  
Well Productivity

During the volcanic gas reservoirs development, stress-sensitivity will result in permeability decline with formation pressure drop, lowering gas production and affecting the whole gas reservoirs development program. On the basis of the stress-sensitivity experiments on volcanic rocks, the characteristic of stress-sensitivity in volcanic reservoirs is analyzed. On this basis, this paper studies the prediction method of gas well productivity in volcanic gas reservoirs with stress-sensitivity, and establishes the mathematical model of constant pressure production in volcanic gas reservoirs. The results show that the permeability of volcanic rocks has an exponential relationship with effective stress. The stronger the stress-sensitivity is, the more the gas well productivity losses under the same conditions. And the reservoir stress-sensitivity will increase the degree of gas well unsteady production decline.

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