Introducing the Application of Hybrid Gas and Sand Control in Sucker Rod Pump (SRP) Case Study Old Rimau Mature Field South Sumatera

2021 ◽  
Author(s):  
P. R. Safiraldi

Objective/Scope: Challenges of sucker rod pumping operation in high gas and solid production;The implementation of integrated down-hole gas and solid separation in one device. Method procedure/processes: Old Rimau Fields in South Sumatera produce oil from sandstone reservoir with GOR above 800 scf/stb and solid production resulted from fracturing proppant flow back. Due to these conditions, some problems such as gas lock or interference, pump leakage, and rod parted were discovered which resulting in low SRP run life. The installation of sand screen and gas anchor has been implemented to encounter this issue. However, this initiative still ineffective due to limited conditions. If the sand screen was installed to control the sand, then the gas anchor to control the gas could not be installed and vice versa.Results, observations, conclusions: Integrated solid and gas handling called "hybrid" device has been introduced. The device is connected directly at the bottom of down-hole pump consist of three section, the upper section for intake and gas separator, the middle section for gas and solid separator, and lower one for solid container. The first utilization was conducted in three SRP wells, which are KG-09, LKP-21, and KG-10. Previously, these wells were shut-in due to down-hole problem. After installing the device while well service, the SRP run normally to produce the oil. The increasing of pump load performance was also obtained, indicated by the dyna card. At this time, the SRP is still running and run life is still under surveillance. This paper will explain the new technology end-to-end implementation of the integrated down-hole sand and gas control in one device for Sucker Rod Pump (SRP) system.

2019 ◽  
Vol 121 ◽  
pp. 265-284 ◽  
Author(s):  
Brigham Hansen ◽  
Brandon Tolbert ◽  
Cory Vernon ◽  
John D. Hedengren

2021 ◽  
Author(s):  
Caleb DeValve ◽  
Gilbert Kao ◽  
Stephen Morgan ◽  
Shawn Wu

Abstract Controlling downhole sand production is a well-known and often-studied issue within the oil and gas industry. The methods employed for sand management, and their ultimate cost, is greatly impacted by the amount of sand produced by the well. This paper presents an innovative, physics-based approach to predict sand production for various reservoir and completion types, explored through a case study of recent production wells in a sandstone reservoir development. Sand control may be executed through a variety of methods, for example at the reservoir-completion interface using a sand control completion, at topside facilities through sand monitoring / de-sanding equipment, or by using well operational limits to avoid downhole sand failure. Although different strategies exist for effective sand management, some capability to estimate sand production is needed to design a holistic sand management strategy. This paper presents a physics-based approach to predicting sand production on a well-by-well basis to inform the overall sand management design. The workflow integrates (1) geomechanical estimate of wellbore breakout and volume of failed sand downhole, (2) log-based prediction of the sand particle size variation along the well path, (3) modeling of sand filtration based on experimental and analytical methods for specific completion options (e.g. Open Hole Gravel Pack [OHGP] or Stand-Alone Screen [SAS]), and (4) a natural sand pack permeability prediction for SAS completions and associated well performance analysis. This paper describes the methods used in this work in more detail as well as the application to five wells in a recent sandstone reservoir development. The workflow can be described as follows: First, log-based predictions for geomechanical properties and sand Particle Size Distributions (PSDs) were generated for specific wellpaths, and the volume of failed reservoir sand and PSD characteristics were predicted along the entire wellbore length. Next, this analysis was combined with a novel filtration model to determine sand retention and production, specific to various completion types. Additionally, for a SAS completion, the PSD and volume of retained sand in the annulus was computed as the wellbore experience borehole breakout, combined with an analytical model to calculate the natural sand pack permeability and well performance. This workflow was initially applied to study five development well producers, and the results influenced a mixed design of OHGP and SAS completions for individual wells. Sand production was measured during recent well startup to validate the workflow, with excellent agreement observed between measured field data and the physics-based predictions. This innovative, physics-based approach and the associated case study demonstrate a significant advancement in the area of sand production prediction from hydrocarbon production wells. The current workflow is able to deliver improved sand prediction capabilities over rules of thumb or analog field performance, which can be used to better inform overall sand management strategies and associated business value.


2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.


2011 ◽  
Vol 3 (5) ◽  
pp. 274-276
Author(s):  
Siraj Bhatkar ◽  
◽  
Yusufuddin Nehri ◽  
Fahad Shaikh
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document