Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Slator Ranch Fracture Optimization Study

View through CrossRef
Summary The Las Ovejas (Lobo) field in Zapata County, TX, is being developed actively. The field was discovered on Tenneco Oil E and P's Slator Ranch lease with the successful completion of the Sanchez-O'Brien Vaquillas Ranch Well 1. Tenneco operates all of the 17,712-acre [71 678 × 10(3)-m2] lease (with the exception of a 320-acre [1295 × 10(3)-m2] tract assigned to the Vaquillas Ranch Well 1) and has successfully completed five wells in the Lobo field subsequent to the discovery well. The Lobo interval in the Slator Ranch area is a tight gas sand, and all these wells require fracture stimulation. Because a successful fracture is essential for a good Lobo completion and because hydraulic fracturing represents a significant portion of the completed well cost, it is important to portion of the completed well cost, it is important to optimize this phase of the completion. The purpose of this study was to determine the following for Slator Ranch Lobo completions:(1)an optimum fracture length as a function of permeability;(2)whether wells should be tailed-in with bauxite, or fractured with all bauxite or sand (if an optimum tail-in does exist, to determine the optimum tail-in for a fixed fracture length as a function of permeability);(3)the drainage area and abandonment pressure permeability);(3)the drainage area and abandonment pressure for Slator Ranch Well(4)the effect of compression on reserves and(5)closure pressure as a function of time and distance along the fracture for Slator Ranch Well 2. Introduction Fig. 1 shows the location of Slator Ranch on the Zapata County and Webb County border line. Tenneco has completed five Lobo wells on the ranch since the Sanchez-O'Brien Vaquillas Ranch Well 1, the discovery well for the Las Ovejas (Lobo) field, was completed in July 1981. Fig. 2 shows the location of each of these wells. The Lobo section in which these wells are completed ranges in depth from 10,000 to 11,000 ft [3050 to 3350 mi. The Lobo interval contains three correlative members, the Lobo 1, 3, and 6 sands, all of which have been found to be productive on the Slator Ranch. An average Lobo member contains about 55 ft [17 m] of net sand, each bounded by at least 85 ft [26 m] of shale. The shales are thick, clean intervals and appear to be good barriers to vertical fracture growth. The sands consist of very fine grains of quartz, feldspar, and mica. Quartz overgrowth and dolomite cement the grains. The matrix consists of clays and scattered pyrite. Generally, the mineral composition consists of 30 to 45 % quartz, 5 to 30 % feldspar, 1 to 20 % calcite, and 11 to 25 % clay matrix. Scanning electron microscope (SEM) examination shows that the porosity and permeability of the sands has been porosity and permeability of the sands has been diagenetically altered by quartz overgrowth and clay minerals lining the pore spaces. The permeability of the sands changes drastically over very short intervals. In-situ permeability of the Slator Ranch wells ranges from 0.01 to 0.30 md. In addition to being very heterogeneous, the Lobo sands on Slator Ranch are also intensely faulted. None of the six Lobo completions on the ranch contain three productive Lobo members. Only Slator Ranch Wells 2 and 4 contain two productive Lobo sands; the remaining four wells contain productive Lobo sands; the remaining four wells contain only one productive Lobo sand. Case History To research the objectives of this study, as outlined in the summary, the following procedure was set forth.Model and obtain a history match for a Slator Ranch Lobo completion using a reservoir simulator.After a history match is obtained, run a fracture length sensitivity. Assuming that this model reasonably describes other Lobo completions, run additional fracture length sensitivities for various permeabilities.Choose an optimum fracture length for each particular permeability and run a tail-in sensitivity by particular permeability and run a tail-in sensitivity by varying the bauxite/sand ratio in the fracture from 0 to 1 -Choose the optimum fracture length and tail-in for each particular permeability and review the effects of compression. Slator Ranch Well 2 was chosen as the well to model because it was the only well on the ranch that had both a pre- and postfracture pressure buildup, and because as one of the first wells to be completed, it had more producing history to match. In addition, the permeability of producing history to match. In addition, the permeability of Stator Ranch Well 2 is 0.148 md, which is close to the average permeability of Slator Ranch Lobo wells and therefore typical of an average Lobo completion. The reservoir simulator used for this study was FRACSIM. FRACSIM is a single-phase, two-dimensional reservoir model that can be used to simulate the flow of gas in porous media. Specifically, it was built to analyze vertically fractured gas wells. FRACSIM can be used to investigate various single-well problems such as nondarcy flow, damage around the fracture, wellbore storage, and fracture permeability reduction in time. The only problem with using FRACSIM for this project is its calculation problem with using FRACSIM for this project is its calculation of closure pressure with time. JPT P. 1251
Society of Petroleum Engineers (SPE)
Title: Slator Ranch Fracture Optimization Study
Description:
Summary The Las Ovejas (Lobo) field in Zapata County, TX, is being developed actively.
The field was discovered on Tenneco Oil E and P's Slator Ranch lease with the successful completion of the Sanchez-O'Brien Vaquillas Ranch Well 1.
Tenneco operates all of the 17,712-acre [71 678 × 10(3)-m2] lease (with the exception of a 320-acre [1295 × 10(3)-m2] tract assigned to the Vaquillas Ranch Well 1) and has successfully completed five wells in the Lobo field subsequent to the discovery well.
The Lobo interval in the Slator Ranch area is a tight gas sand, and all these wells require fracture stimulation.
Because a successful fracture is essential for a good Lobo completion and because hydraulic fracturing represents a significant portion of the completed well cost, it is important to portion of the completed well cost, it is important to optimize this phase of the completion.
The purpose of this study was to determine the following for Slator Ranch Lobo completions:(1)an optimum fracture length as a function of permeability;(2)whether wells should be tailed-in with bauxite, or fractured with all bauxite or sand (if an optimum tail-in does exist, to determine the optimum tail-in for a fixed fracture length as a function of permeability);(3)the drainage area and abandonment pressure permeability);(3)the drainage area and abandonment pressure for Slator Ranch Well(4)the effect of compression on reserves and(5)closure pressure as a function of time and distance along the fracture for Slator Ranch Well 2.
Introduction Fig.
1 shows the location of Slator Ranch on the Zapata County and Webb County border line.
Tenneco has completed five Lobo wells on the ranch since the Sanchez-O'Brien Vaquillas Ranch Well 1, the discovery well for the Las Ovejas (Lobo) field, was completed in July 1981.
Fig.
2 shows the location of each of these wells.
The Lobo section in which these wells are completed ranges in depth from 10,000 to 11,000 ft [3050 to 3350 mi.
The Lobo interval contains three correlative members, the Lobo 1, 3, and 6 sands, all of which have been found to be productive on the Slator Ranch.
An average Lobo member contains about 55 ft [17 m] of net sand, each bounded by at least 85 ft [26 m] of shale.
The shales are thick, clean intervals and appear to be good barriers to vertical fracture growth.
The sands consist of very fine grains of quartz, feldspar, and mica.
Quartz overgrowth and dolomite cement the grains.
The matrix consists of clays and scattered pyrite.
Generally, the mineral composition consists of 30 to 45 % quartz, 5 to 30 % feldspar, 1 to 20 % calcite, and 11 to 25 % clay matrix.
Scanning electron microscope (SEM) examination shows that the porosity and permeability of the sands has been porosity and permeability of the sands has been diagenetically altered by quartz overgrowth and clay minerals lining the pore spaces.
The permeability of the sands changes drastically over very short intervals.
In-situ permeability of the Slator Ranch wells ranges from 0.
01 to 0.
30 md.
In addition to being very heterogeneous, the Lobo sands on Slator Ranch are also intensely faulted.
None of the six Lobo completions on the ranch contain three productive Lobo members.
Only Slator Ranch Wells 2 and 4 contain two productive Lobo sands; the remaining four wells contain productive Lobo sands; the remaining four wells contain only one productive Lobo sand.
Case History To research the objectives of this study, as outlined in the summary, the following procedure was set forth.
Model and obtain a history match for a Slator Ranch Lobo completion using a reservoir simulator.
After a history match is obtained, run a fracture length sensitivity.
Assuming that this model reasonably describes other Lobo completions, run additional fracture length sensitivities for various permeabilities.
Choose an optimum fracture length for each particular permeability and run a tail-in sensitivity by particular permeability and run a tail-in sensitivity by varying the bauxite/sand ratio in the fracture from 0 to 1 -Choose the optimum fracture length and tail-in for each particular permeability and review the effects of compression.
Slator Ranch Well 2 was chosen as the well to model because it was the only well on the ranch that had both a pre- and postfracture pressure buildup, and because as one of the first wells to be completed, it had more producing history to match.
In addition, the permeability of producing history to match.
In addition, the permeability of Stator Ranch Well 2 is 0.
148 md, which is close to the average permeability of Slator Ranch Lobo wells and therefore typical of an average Lobo completion.
The reservoir simulator used for this study was FRACSIM.
FRACSIM is a single-phase, two-dimensional reservoir model that can be used to simulate the flow of gas in porous media.
Specifically, it was built to analyze vertically fractured gas wells.
FRACSIM can be used to investigate various single-well problems such as nondarcy flow, damage around the fracture, wellbore storage, and fracture permeability reduction in time.
The only problem with using FRACSIM for this project is its calculation problem with using FRACSIM for this project is its calculation of closure pressure with time.
JPT P.
1251.

Related Results

Fracture Modelling Using Seismic Based Fracture Intensity Volume, a Case Study in Middle East
Fracture Modelling Using Seismic Based Fracture Intensity Volume, a Case Study in Middle East
Abstract In this paper, a case study in a fractured carbonate reservoir is presented to demonstrate the approach of fracture modeling using fracture intensity vol...
Blunt Chest Trauma and Chylothorax: A Systematic Review
Blunt Chest Trauma and Chylothorax: A Systematic Review
Abstract Introduction: Although traumatic chylothorax is predominantly associated with penetrating injuries, instances following blunt trauma, as a rare and challenging condition, ...
3791 Rising burden of pelvic fracture: a need for prompt identification to minimise harm
3791 Rising burden of pelvic fracture: a need for prompt identification to minimise harm
Abstract Introduction Pelvic fractures are a common fragility fracture, associated with adverse clinical outcome but ofte...
Quantifying the Sensitivity of Dielectric Dispersion Data to Fracture Properties in Fractured Rocks
Quantifying the Sensitivity of Dielectric Dispersion Data to Fracture Properties in Fractured Rocks
Evaluation of fluid storage and flow capacity of a fractured rock system needs a comprehensive characterization of all the fracture properties. These properties include the fractur...
Application of Lightning Breakdown Simulation in Inversion of Induced Fracture Network Morphology in Stimulated Reservoirs
Application of Lightning Breakdown Simulation in Inversion of Induced Fracture Network Morphology in Stimulated Reservoirs
Abstract Accurately characterizing fracture network morphology is necessary for flow simulation and fracturing evaluation. The complex natural fractures and reservoi...
Vertebral fractures as a precursor to potential hip fractures in elderly women
Vertebral fractures as a precursor to potential hip fractures in elderly women
Abstract Objective: The purpose of this study was to investigate the kind of low-energy fracture which is a precursor of hip fracture in the elderly, and to suggest the imp...
Connectivity Assessment and Permeability Upscaling of Fracture Network Using Grid Independent Particle Tracking Algorithm
Connectivity Assessment and Permeability Upscaling of Fracture Network Using Grid Independent Particle Tracking Algorithm
Abstract Discrete Fracture Network (DFN) models are now becoming an industry practice to model fractures in naturally fractured reservoirs. However, incorporating th...
Calcaneal Fracture Maps And Their Determinants
Calcaneal Fracture Maps And Their Determinants
Abstract Background: Calcaneal fractures are associated with numerous complications and a poor prognosis with significant long-term quality-of-life issues, regardless of tr...

Back to Top