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Description

Block H125 primarily focuses on the development of the Qingshankou oil layer, where the top structure of the Qing 1st sublayer features a broken nose configuration hindered by reverse normal faults. This area exhibits a layered lithological structure reservoir type, and the current operation employs a refined five-point well pattern, comprising 27 injection wells alongside 38 production wells. Delta front deposits serve as the main target layers in the northern section of Block H125, with bars identified as the principal microfacies types across each sublayer. The technology for reservoir geological modeling is categorized into two essential workflows: structural modeling and property modeling. Property modeling encompasses various aspects, including sedimentary facies modeling, porosity modeling, permeability modeling, oil saturation modeling, and NTG modeling. The initial phase in geological modeling involves utilizing the well header and well picks to create a structural model, wherein the increments in the I and J directions are set to optimize grid quality and well configuration. This meticulous approach ensures that the reservoir's geological characteristics are accurately represented for enhanced production strategies. Additionally, ongoing assessments of well performance and reservoir behavior are crucial for optimizing extraction methods and maximizing resource recovery.

Description

Develop more accurate models of your reservoir fluids by utilizing dependable and straightforward PVT software to calculate essential PVT properties. PVT Solver can effectively illustrate the behavior of petroleum reservoir fluids, making it an ideal choice for easy PVT simulation and exporting various fluid properties. You can analyze reservoir fluids through a simple three-step process, which involves using the easiest fluid properties software available for your PVT modeling needs. In Step 1, input the necessary data by identifying the existing separation system and entering the relevant field parameters. Step 2 involves comparing correlations, allowing you to visualize various correlation models for each fluid property. In Step 3, you will calculate properties by selecting a correlation for each property and defining the calculation range. It’s essential to utilize the most recognized fluid correlations in the industry, such as Sutton (2007) for gas pseudo-critical properties and Dranchuk-Abou-Kassem (DAK) (1975) for gas z compressibility or deviation factors. Additionally, Standing (1947) can be employed for bubble point calculations. Ultimately, these steps lead to a more comprehensive understanding of reservoir fluid behavior, enhancing your modeling accuracy.

API Access

Has API

API Access

Has API

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Integrations

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Integrations

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Pricing Details

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Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

GPT

Country

China

Website

www.gptsoft.com/ges-case-study-block-h125-modling/

Vendor Details

Company Name

PVT Solver

Founded

2015

Country

United States

Website

pvtsolver.com

Product Features

Oil and Gas

Compliance Management
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Inventory Management
Job Costing
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Maintenance Management
Material Management
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